Complementary Food Situation in Sierra Leone: Nutritional Problems and Possible Strategies—A Review

Low nutrient density and bulkiness of complementary foods, early introduction of solid foods, and unhygienic practices during weaning stage of a child predispose infants to malnutrition, growth retardation, infection and high mortality. In most West African countries, especially in Sierra Leone, the use of a variety of home-made complementary foods prepared from locally grown foodstuffs during the weaning process is popular, with products traditionally known as pap (mesh rice water) fofo from cassava, ogi, gari, akamu and couscous. Sierra Leone is one of the countries in West Africa that has been reported to have a challenging situation with regards to complementary foods, and little effort has so far been done to improve the situation. Despite these challenges, very little work has been directed towards the development of complementary foods using local foodstuffs as practiced in some other African countries. This situation has serious impact on the lives of infants in Sierra Leone, thus increasing the rate of mortality in the country. Complementary food situation in Sierra Leone was reviewed in terms of the past and present practices as well as the types of complementary foods used in Sierra Leone. Thus, the objective of this review was to discuss the complementary food situation in Sierra Leone: Nutritional problems and possible strategies. Formulation of high nutritive value home-made complementary foods in the country was recommended using traditional food processing techniques such as fermentation and germination, since these methods are simple, and could easily be employed at household and community levels without the use of sophisticated machinery. Nonetheless, it was recently reported that a product from the orange-flesh sweet potato could address the issue of complementary food in the country as it is easy to prepare, and the products are easily available in the rural area and even urban settings. Other recommendations made include: community nutrition education, the development of weaning recipe book, reduction in the workload of the suckling mother, promotion of breastfeeding and increased maternity leave period, which were suggested to be the most immediate possible strategies for the problems highlighted.

Complementary memtransistors for neuromorphic computing: How, what and why

Memtransistors in which the source-drain channel conductance can be nonvolatilely manipulated through the gate signals have emerged as promising components for implementing neuromorphic computing.On the other side,it is known that the complementary metal-oxide-semiconductor(CMOS)field effect transistors have played the fundamental role in the modern integrated circuit technology.Therefore,will complementary memtransistors(CMT)also play such a role in the future neuromorphic circuits and chips?In this review,various types of materials and physical mechanisms for constructing CMT(how)are inspected with their merits and need-to-address challenges discussed.Then the unique properties(what)and poten-tial applications of CMT in different learning algorithms/scenarios of spiking neural networks(why)are reviewed,including super-vised rule,reinforcement one,dynamic vision with in-sensor computing,etc.Through exploiting the complementary structure-related novel functions,significant reduction of hardware consuming,enhancement of energy/efficiency ratio and other advan-tages have been gained,illustrating the alluring prospect of design technology co-optimization(DTCO)of CMT towards neuro-morphic computing.

Use of Topical Complementary and Alternative Medicines (CAM) in Diabetic Septic Foot Disease in Makkah Region, Western of Saudi Arabia, an Exploratory Study

Diabetes is a chronic condition that is significantly impacted daily by environment. At least one in five Saudis, suffer from diabetes. “Diabetes is a pandemic of unprecedented magnitude spiraling out of control” (Boulton). Saudi Arabia ranks the second highest in the Middle East, and is the seventh in the world for the prevalence of diabetes (WHO). Diabetes mellitus (DM) has been found to be related to high mortality, morbidity accompanied by poor general health and lower quality of life. Current Saudi diabetes patients’ behaviors, practices, and beliefs regarding foot health problems such as ulcers, are not well investigated. Diabetic patients frequently utilize natural remedies and Herbs for self-medication as a part of complementary and alternative Medicine. Aim of study: To explore the widespread use of the alternative remedies in the local communities of the Western Saudi Arabia, the drives behind using and to focus on the potential adverse effects following their usage. Method: A descriptive, cross-sectional study of 386 diabetic patients with feet problems in Makkah Region, West of Saudi Arabia during the period April - June 2023. Results: Out of the 531 participants, only 386 participants reported diabetic foot disorder (DFD). Most of the participant were above 65 years of age group (24.61 %). Male (52.08%) more than female (47.92%) in the research group. All of the participants had diabetic foot disorders at least once. The prevalence of complementary and alternative medicines (CAM) use among them was 67.88%, as solitary or in combination with hospital medicines. Honey headed the list followed by myrrh and black seeds. Acquaintances advice (59.54%) was the most reason for using the alternative medicine. 60.30% of Diabetic foot patient complained of adverse effects during CAM remedies use. Conclusion: Consumption of CAM remedies among diabetic patients for Diabetic Foot Disorder (DFD) is common. Honey headed the list followed by myrrh and black seeds. Additional wide-scale research is required to establish their actual efficacy, safety and potential adverse out-comes and to generalize the outcomes.

China-ASEAN Energy Cooperation China and ASEAN countries are poised for long-term energy cooperation as complementary needs continue to rise

Cambodia,funded and developed by China National Heavy Machinery Corporation(CHMC).This project has an installed capacity of 150 MW.Having completed its water storage in 2023,the plant,once operational,will provide Cambodia with a stable power supply.Moreover,CHMC has signed a Memorandum of Understanding to develop the 1,000 MW Upper Stung Tatay Pumped Storage Power Station-a key project,and the signing was witnessed by leaders of both countries.It will serve as a critical reserve and regulating power source in Cambodia,laying a foundation for subsequent renewable energy development in the country.

Carbon efficiency evaluation method for urban energy system with multiple energy complementary

Urban energy systems(UESs)play a pivotal role in the consumption of clean energy and the promotion of energy cascade utilization.In the context of the construction and operation strategy of UESs with multiple complementary energy resources,a comprehensive assessment of the energy efficiency is of paramount importance.First,a multi-dimensional evaluation system with four primary indexes of energy utilization,environmental protection,system operation,and economic efficiency and 21 secondary indexes is constructed to comprehensively portray the UES.Considering that the evaluation system may contain a large number of indexes and that there is overlapping information among them,an energy efficiency evaluation method based on data processing,dimensionality reduction,integration of combined weights,and gray correlation analysis is proposed.This method can effectively reduce the number of calculations and improve the accuracy of energy efficiency assessments.Third,a demonstration project for a UES in China is presented.The energy efficiency of each scenario is assessed using six operational scenarios.The results show that Scenario 5,in which parks operate independently and investors build shared energy-storage equipment,has the best results and is best suited for green and low-carbon development.The results of the comparative assessment methods show that the proposed method provides a good energy efficiency assessment.This study provides a reference for the optimal planning,construction,and operation of UESs with multiple energy sources.

Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind-Solar-Hydro complementary power generation system

Due to the intermittency and instability of Wind-Solar energy and easy compensation of hydropower, this study proposes a Wind-Solar-Hydro power optimal scheduling model. This model is aimed at maximizing the total system power generation and the minimum ten-day joint output. To effectively optimize the multi-objective model, a new algorithm named non-dominated sorting culture differential evolution algorithm(NSCDE) is proposed. The feasibility of NSCDE was verified through several well-known benchmark problems. It was then applied to the Jinping Wind-Solar-Hydro complementary power generation system. The results demonstrate that NSCDE can provide decision makers a series of optimized scheduling schemes.

Attitudes and understanding of complementary and alternative medicine in cancer care:An exploratory study of patients’perspectives in Karachi,Pakistan

Objective:To evaluate the prevalence and types of complementary and alternative medicine(CAM)modalities among patients with cancer in Karachi,Pakistan.Methods:This descriptive cross-sectional study was conducted from March 2021 to December 2021.Five hundred patients with cancer were invited to participate in the study.Electronic databases,namely,Google scholar,Publons,EMBASE,PubMed,Chinese National Knowledge Infrastructure Database,and ResearchGate was used for questionnaire designed.The self-administered survey included questions on demographic characteristics,education level,socio-economic conditions and information about CAM therapies,prevalence,effectiveness,and common CAM modalities.Statistical analysis was conducted using SPSS software version 22.Results:Out of the 500 invited patients,433(86.6%)successfully completed and returned the questionnaires.In contrast to patients who were with younger,highly educated,professionally active,higher income,and had advanced cancer,time since diagnosis,type of treatment,cancer types and family history are significantly associated with CAM use.The results showed that 59.8%of the participants were acquainted with complementary and/or alternative medicine and considered safe owing to its natural ingredients.The prevalence of CAM usage among cancer patients was 40.9%and the most widely used CAM modality was herbal medicine(27.7%)and dietary supplements(28.8%).Patients used CAM as a complementary therapy to improve the morphological parameter(28.2%),strengthen the immune system(6.8%),and to decrease the side effects of conventional treatment(18.1%).Most of the respondents get the information regarding CAM therapy from the electronic media(43.2%)and the family members(48%)rather than healthcare personnel.Conclusions:Participants used CAM modalities along with the conventional health care practices.Further multicentre studies should be conducted to provide information regarding the usage of CAM therapies and their eventual benefits in patients with cancer.

Nutrition Guidelines of Complementary Feeding for Infants and Toddlers(WS/T 678—2020)

1 Scope This standard specifies the basic principles and age-specific guidance for complementary feeding, and requirements of complementary feeding preparation for the healthy full-term infants and toddlers from 6 to 24 months.This standard is applicable to nutritional guidance for complementary foods supplements for the infants and toddlers from 6 to 24 months.

A complementary integrated Transformer network for hyperspectral image classification

In the past,convolutional neural network(CNN)has become one of the most popular deep learning frameworks,and has been widely used in Hyperspectral image classification tasks.Convolution(Conv)in CNN uses filter weights to extract features in local receiving domain,and the weight parameters are shared globally,which more focus on the highfrequency information of the image.Different from Conv,Transformer can obtain the long‐term dependence between long‐distance features through modelling,and adaptively focus on different regions.In addition,Transformer is considered as a low‐pass filter,which more focuses on the low‐frequency information of the image.Considering the complementary characteristics of Conv and Transformer,the two modes can be integrated for full feature extraction.In addition,the most important image features correspond to the discrimination region,while the secondary image features represent important but easily ignored regions,which are also conducive to the classification of HSIs.In this study,a complementary integrated Transformer network(CITNet)for hyperspectral image classification is proposed.Firstly,three‐dimensional convolution(Conv3D)and two‐dimensional convolution(Conv2D)are utilised to extract the shallow semantic information of the image.In order to enhance the secondary features,a channel Gaussian modulation attention module is proposed,which is embedded between Conv3D and Conv2D.This module can not only enhance secondary features,but suppress the most important and least important features.Then,considering the different and complementary characteristics of Conv and Transformer,a complementary integrated Transformer module is designed.Finally,through a large number of experiments,this study evaluates the classification performance of CITNet and several state‐of‐the‐art networks on five common datasets.The experimental results show that compared with these classification networks,CITNet can provide better classification performance.

Roles of conventional and complementary therapies in recurrent hepatocellular carcinoma

Hepatocellular carcinoma(HCC)is the fifth most common type of cancer and the fourth leading cause of cancer-related deaths in the world.HCC has a reported recurrence rate of 70%-80%after 5 years of follow-up.Controlling tumor recurrence is the most critical factor associated with HCC mortality.Conventional salvage therapies for recurrent HCC include re-hepatectomy or liver transplantation,transcatheter arterial chemoembolization,Y-90,target therapy,and immunotherapy;however,these conventional treatment modalities have yet to achieve consistently favorable outcomes.Meanwhile,previous studies have demonstrated that conventional therapies in combination with traditional Chinese medicine(TCM),acupuncture,moxibustion or dietary supplements could notably benefit patients with HCC recurrence by strengthening and augmenting the overall management strategy.However,systemic reviews related to the interactions between complementary therapies and conventional therapy in recurrent HCC are limited.In this review,we discuss the molecular mechanisms underlying the functions of complementary therapies for recurrent HCC,which include augmenting the local control to improve the congestion status of primary tumors and reducing multicentric tumor occurrence via inducing autophagy,apoptosis or cell cycle arrest.TCM and its derivatives may play important roles in helping to control HCC recurrence by inhibiting epithelial-mesenchymal transition,migration,invasion,and metastasis,inhibiting cancer stem cells,and ameliorating drug resistance.

PSO-BP-Based Optimal Allocation Model for Complementary Generation Capacity of the Photovoltaic Power Station

To improve the operation efficiency of the photovoltaic power station complementary power generation system,an optimal allocation model of the photovoltaic power station complementary power generation capacity based on PSO-BP is proposed.Particle Swarm Optimization and BP neural network are used to establish the forecasting model,the Markov chain model is used to correct the forecasting error of the model,and the weighted fitting method is used to forecast the annual load curve,to complete the optimal allocation of complementary generating capacity of photovoltaic power stations.The experimental results show that thismethod reduces the average loss of photovoltaic output prediction,improves the prediction accuracy and recall rate of photovoltaic output prediction,and ensures the effective operation of the power system.

基于自适应融合的实时车辆检测

针对传统的车辆检测技术检测速度慢和精度低的问题,提出了一种融合注意力的自适应金字塔网络的交通目标检测算法(fusion attentiont adaptive pyramid network,FAAP-Net),可以显著降低交通事故的发生率。为了降低计算复杂度,设计了一种轻量级的互补池化结构(CPS),该结构在宽度和高度上采用了两组不同的池化组合,在保持高精度的同时,显著降低了网络的浮点运算数(GFLOPs)和参数量。为了解决智能交通系统特征图生成过程中的信息损失问题,通过将自适应注意力模块(AAM)和特征增强模块(FEM)引入自适应融合特征金字塔网络(AF-FPN),以融入车辆检测的形状特征。针对车辆细节特征表征弱的问题,引入了一种按通道维度分组的注意力(SA)机制,以增强主干网络对不同车辆检测细节特征的关注,有效提取车辆细节的显著特征。在BDD100K数据集上的实验结果表明,FAAP-Net算法相比于传统算法,平均精度从30.3%提升到43.7%。

中医药治疗系统性红斑狼疮的研究进展

中医药治疗系统性红斑狼疮的方法如分证论治、分期论治、经典方剂、中成药及自拟方等,可明显改善系统性红斑狼疮患者临床症状与体征,疗效显著,不良反应少。该文采用文献检索,归纳近年来中医药治疗系统性红斑狼疮及其系统病变的研究进展,为中医药更好地治疗系统性红斑狼疮及其全身病变提供参考。

白条猪价格预测模型构建

【目的】增强农产品价格预测准确度,为农产品价格的有效预测提供参考。【方法】以河南省白条猪每周平均批发价格为研究对象,提出一种基于序列分解、主成分分析和神经网络(CEEMDAN-PCA-CNN-LSTM)的白条猪价格预测方法。首先,使用自适应白噪声完全集合模态分解方法(CEEMDAN)对白条猪价格序列进行分解;其次,选用皮尔逊相关系数筛选影响价格波动的相关因素;再次,利用主成分分析(PCA)对影响因素及分解得到的子序列降维处理并作为原始价格序列的特征值,并行输入到作为编码器的卷积神经网络(CNN)中进行特征提取;最后,引入长短期记忆网络(LSTM)作为解码器输出得到预测结果。将该方法应用于河南省白条猪每周平均价格数据,与LSTM、门控循环单元(GRU)、CNN、基于卷积的长短期记忆网络(ConvLSTM)模型进行比较。【结果】CEEMDAN-PCA-CNN-LSTM组合模型预测方法得到的平均绝对误差分别降低了44.95%、27.30%、28.13%、43.17%。【结论】CEEMDAN-PCA-CNN-LSTM模型对于河南省白条猪市场价格的预测性能更优,有助于相关部门针对河南省白条猪价格波动做出科学决策。

基于水光电力系统时序生产模拟模型的水光优化配比研究

基于考虑系统负荷、新能源发电出力等时序变化特性的时序生产模拟法,建立了水光电力系统时序生产模拟模型;从系统结构性、经济性、灵活性与可靠性方面综合确定最佳水光容量配比,并通过金沙江上游川藏段水光系统验证了模型的合理性。金沙江上游川藏段光伏电站与水电站出力具有较好的年内、日内互补特性;对于2030年水平年,考虑枯期水电留存,913.6万kW水电配套400万kW光伏的方案综合性能更优,其新增非水可再生电量约60亿kW·h。

基于源荷匹配的梯级水风光蓄系统优化运行研究

在“双碳”目标下,我国亟需进行能源结构转型,提高可再生能源在电力系统中的比例。调节性水电站和抽蓄电站具有良好的调蓄能力,可以作为调节电源与风光电源联合运行,从前端减缓风光不稳定出力对电力系统的冲击,促进新能源集中上网消纳。因此,充分利用梯级水电站及抽水蓄能电站的调节性能,制定合理的一体化调度策略,有利于在发电侧实现水风光蓄打捆送出和协同消纳,助力“双碳”目标实现。基于对梯级水风光蓄互补发电系统在短期调度中电网侧负荷需求和梯级水电水资源利用率的考虑,构建以源荷差异最小、梯级水电蓄能增量最大为目标,以常规水电站、风光电站、抽水蓄能电站安全运行条件为约束的短期互补调度模型,并采用粒子群-动态规划内外层嵌套算法对模型进行求解。选取西南某流域常规梯级水电站、抽水蓄能电站及周边风光电站组成的水风光蓄互补发电系统为研究对象进行模拟计算,结果表明:(1)抽水蓄能电站倾向于在梯级电站水头较低时选择泄水发电,而在梯级电站水头较高时选择抽水或维持当前水位不变;(2)所构建模型有效提高了系统总出力曲线与电网负荷曲线的匹配度,实现了梯级水电站之间负荷与水量的合理分配,一定程度上减少了梯级水电站效益损耗,提高了水能利用率,增加了梯级水电蓄能增量,有利于源网协同运行和梯级电站之间的稳定运行。

考虑新能源消纳的黄河上游水电站群生态优化调度研究

为降低黄河上游水电站群调度中新能源消纳对河流径流情势和生态完整度的影响,以河流径流情势变化最小、水电站群发电量最大、发电出力平稳性最高为目标,建立了风水光多能互补系统生态调度模型,采用多目标进化算法求解,探讨了多能互补系统发电出力、新能源消纳及河流生态保护之间的均衡关系。结果表明:水电站群发电量和河流生态保护目标之间呈现明显的竞争关系,多能互补系统的发电出力波动越大,水电站群发电量越大,径流情势变化也越大;入库径流量越大,水电站群生态调度对径流情势的影响越小;多能互补系统生态调度对径流情势的影响主要集中在年发生高/低流量脉冲次数和流量平均增加率/减少率这两项指标,在枯水年发电量最大的调度结果中,年发生低流量脉冲次数和流量平均减少率指标的变化最大。

风光热储互补发电系统容量配置技术研究

针对无常规电源支撑的风光热储互补发电系统,协调规划装机容量对提高发电系统运行经济性和利用率具有重要意义。提出了一种双层优化配置方法,上层以最小度电成本及弃电率为目标,确定系统装机容量;下层以新能源发电消纳最大为目标,解决功率分配问题。通过反复迭代寻优,得到系统容量配置;然后;通过纳什谈判对优化结果进行选择;最后,对甘肃河西地区数据进行仿真分析。结果表明:风光热储互补发电系统最优容量配置下的度电成本为0.3064元/(k W·h);风电场加光伏电站装机容量与光热电站装机容量的最优比为6:1,对比相同装机容量的风光互补发电系统,风光热储互补发电系统具有更高的稳定性。

“内外兼修”的质量管理能力如何影响企业创新绩效——来自开放式创新视角

基于组织学习理论与资源基础理论,以互补性知识资源作为中介变量,基于开放式创新视角构建“内外兼修”的质量管理能力与企业创新绩效关系模型。结果表明,外部质量管理能力与内部质量管理能力均有利于企业创新绩效提升;互补性知识资源在质量管理能力与创新绩效间发挥部分中介效应;内向开放式创新负向调节外部质量管理能力与互补性知识资源的关系,且存在有调节的中介作用,而外向开放式创新的调节作用不显著。结论可为不同类型质量管理能力对创新绩效的影响提供理论依据,并为开放式创新情境下本土企业战略选择与质量管理实践提供支持。

大型城镇集中安置区搬迁移民生计资本组合对家庭收入影响机理的实证研究

易地搬迁移民已成为防止规模性返贫的重要群体。当前,搬迁移民面临着就业市场风险增大,生计资本存量减少以及家庭增收困难等现实问题,优化移民生计资本内部结构,发挥生计资本间的组合效应,提升生计资本组合对移民家庭收入的贡献作用是解决上述问题的重要途径。学界当前与易地搬迁相关的研究多聚焦分析移民生计资本对家庭总收入的作用机制,较少基于结构功能理论视角,从实证层面探讨生计资本组合对家庭不同收入来源的影响及其相互作用机制。本文以贵州省大型城镇集中安置区移民为研究对象,首先测算移民家庭生计资本,分别采用OLS和分位数回归分析生计资本与家庭收入之间的作用机理,然后采用多元线性回归模型测算生计资本间的互补效应和替代效应,构建了移民家庭收入与生计资本组合之间的矩阵分析模型,分别应用tobit和logit回归进行实证检验,并剖析了不同维度下不同生计资本组合对不同类型收入的影响。研究结果表明:(1)移民生计资本总量有助于提升家庭收入水平。在后搬迁时代,自然资本对家庭收入的边际贡献最小,而社会资本对家庭收入呈现负向影响。(2)五大资本中的人力资本与自然资本、物质资本、社会资本以及金融资本之间存在着普适性互补效应,金融资本与社会资本间存在替代效应。(3)互补性生计资本值越大,移民家庭工资收入和财产收入越高;互补性和替代性资本量均较低的家庭主要以获得转移性收入维持生计。