The Utility of Artificial Intelligence for Mood Analysis,Depression Detection,and Suicide Risk Management

Mood disorders are often an indication or a sign of depression,and individuals suffering from mood swings may face higher probability and increased suicidal tendencies.Depression-also called“clinical depression”or a“depressive disorder”-is a mood disorder that adversely impacts how an individual feels,thinks,and handles daily activities,such as sleeping,eating,or working.To be diagnosed with depression,symptoms must be present most of the time,nearly every day for at least minimum of 2 to 3 weeks.Feeling sad or having low emotional energy may be common among people.For most,however,these feelings are transitory and can be managed by changing daily life routines.But for some,prolonged mood disorders can lead to depression and foster suicidal tendencies.Suicide is a major public health concern.Over 47,000 people died by suicide in the United States in 2017.It is the 10th leading cause of death overall according to NIMH(National Institute of Mental Health).Suicide is complicated and tragic,but it is often preventable.Identifying the warning signs for suicide and how to get help can be a major mitigating factor.In this short communication,we are reviewing the promise and limitations of AI(artificial intelligence)with its integrated tools such as ML(machine learning)and DL(deep learning)for mood analysis as a means for detecting early signs of depression and increased suicidal tendencies for possible suicide risk management.

Research on the Debt Default Risk of Guangyi Technology

In the process of production and operation,the funds held by enterprises often do not meet the needs of the expanding production scale,so enterprises usually obtain the required funds by borrowing.However,the financing mode of enterprises is not only limited to borrowing from banks or other financial institutions.With the rapid economic development and the continuous activity of the capital market,the bond market has gradually become an important channel for enterprise financing⑴,In order to improve the layout of the industrial chain,Guangyi Technology has carried out continuous mergers and acquisitions(M&A)since 2013.Due to its limited funds,Guangyi Technology acquired a large amount of funds required for M&A by means of equity pledge.However,the copyright cloud project invested in M&A in the early stage did not achieve the expected results,leading to a frequent breach of equity pledge,which evolved into debt defaults.Therefore,this article takes Guangyi Technology as the research subject and puts forward relevant avoidance suggestions through the evaluation of its debt default risk.

Liver injury in COVID-19: Clinical features, potential mechanisms, risk factors and clinical treatments

The coronavirus disease 2019(COVID-19)pandemic has been a serious threat to global health for nearly 3 years.In addition to pulmonary complications,liver injury is not uncommon in patients with novel COVID-19.Although the prevalence of liver injury varies widely among COVID-19 patients,its incidence is significantly increased in severe cases.Hence,there is an urgent need to understand liver injury caused by COVID-19.Clinical features of liver injury include detectable liver function abnormalities and liver imaging changes.Liver function tests,computed tomography scans,and ultrasound can help evaluate liver injury.Risk factors for liver injury in patients with COVID-19 include male sex,preexisting liver disease including liver transplantation and chronic liver disease,diabetes,obesity,and hypertension.To date,the mechanism of COVID-19-related liver injury is not fully understood.Its pathophysiological basis can generally be explained by systemic inflammatory response,hypoxic damage,ischemia-reperfusion injury,and drug side effects.In this review,we systematically summarize the existing literature on liver injury caused by COVID-19,including clinical features,underlying mechanisms,and potential risk factors.Finally,we discuss clinical management and provide recommendations for the care of patients with liver injury.

Colonoscopic perforation:Incidence,risk factors,management and outcome

This review discusses the incidence,risk factors,management and outcome of colonoscopic perforation(CP).The incidence of CP ranges from 0.016% to 0.2% following diagnostic colonoscopies and could be up to 5% following some colonoscopic interventions.The perforations are frequently related to therapeutic colonoscopies and are associated with patients of advanced age or with multiple comorbidities.Management of CP is mainly based on patients' clinical grounds and their underlying colorectal diseases.Current therapeutic approaches include conservative management(bowel rest plus the administration of broadspectrum antibiotics),endoscopic management,and operative management(open or laparoscopic approach).The applications of each treatment are discussed.Overall outcomes of patients with CP are also addressed.

Up to Date Management of DCIS and Future Directions

Ductal carcinoma in situ (DCIS) is a non-invasive malignancy confined within the basement membrane of the breast ductal system. There is a lot of disparity in the natural history of DCIS with an estimated incidence of progression to invasive ductal carcinoma between 20% to 53% over ten or more years after initial diagnosis. The surgical and adjuvant management of DCIS has advanced significantly in the last couple of decades. Nonetheless, surgeons, medical oncologists, and radiation oncologists, along with their patients, still depend on conventional clinical and pathologic risk factors to make management decisions. Irrespective of the management strategy, long-term survival is excellent. The debate around DCIS relates to preventing either under-treatment or over-treatment. In this paper, we will review the incidence and management options of DCIS. Additionally, we will focus on several current disputes related to the management of DCIS, including breast conserving surgery, the role of radiation in breast conservation surgery, sentinel node biopsy in DCIS, hormonal therapy, various risk stratification schemes, and the option of active surveillance for low-risk DCIS.

COVID-19 associated liver injury:An updated review on the mechanisms and management of risk groups

Coronavirus disease 2019(COVID-19)has been associated with various liver injury cases worldwide.To date,the prevalence,mechanism,clinical manifestations,diagnosis,and outcomes of COVID-19-induced liver injury in various at-risk groups are not well defined.Liver injury may arise in the prevention and treatment of COVID-19 from direct causes such as viral infection and indirect causes such as systemic inflammation,hypoxic changes,and drugs that exacerbate any pre-existing liver disease.Studies have found that patients with underlying liver disease are at higher risk of COVID-19-induced liver injury.Certain condition of cardiopulmonary and metabolic diseases and vulnerable stages in lifespan may also involve in the development of COVID-19-induced liver injury.This review summarized studies of COVID-19-induced liver injury in different at-risk groups regarding their clinical characteristics,parameters,and correlations of the severity with these indicators and signs as well as potential treatment suggestions,to increase attention to physiological and pathological conditions and continue liver function monitoring as they can help in strengthening early supportive treatment and reducing the incidence of adverse outcomes.

2024年我国政府债务管理政策选择的思考

2023年我国政府债务管理政策较好地支持了宏观经济增长目标的实现。国债和地方政府专项债券预算发行额增加,2023年底我国增发了1万亿元的国债,还决定提前下达2024年部分地方政府新增债务限额;10月中央决定实施地方政府债务一揽子化解方案,开始发行相应的再融资券;2023年下半年地方政府投融资平台城投债发行规模有所减少。从2024年我国经济社会发展所面临的复杂严峻的国内外形势看,政府债务政策在总额管理、结构优化、债券发行、绩效管理、风险控制、体制改革等方面,需要进行有效的政策选择,以实现国家宏观政策目标。

基于债务风险防范的地方政府债务信息披露研究

地方政府债务风险现已成为一种重要的财政风险,全面、准确了解地方债信息,对于防范债务风险具有重要意义。目前我国地方政府债务信息披露存在口径不一致、内容不全面、缺乏有效监督等问题,亟待从加强风险防范、内外监督以及信息化应用等方面进一步完善披露制度,以帮助地方政府加强地方债管理,缓解与防范地方债风险。

基层糖尿病微血管疾病筛查与防治专家共识(2024)

糖尿病微血管疾病(DMiVD)是糖尿病常见的慢性并发症,早期识别及有效干预可以显著提高患者生活质量,改善预后。中国微循环学会糖尿病与微循环专业委员会和中华医学会内分泌学分会基层内分泌代谢病学组组织领域内专家,以2021年版为基础,结合最新研究进展,特别针对基层临床实际需求,修订《基层糖尿病微血管疾病筛查与防治专家共识(2024)》。该共识详尽阐述了DMiVD(糖尿病视网膜病变、糖尿病肾脏病、远端对称性多发性神经病变和糖尿病心肌病)的筛查方法、综合管理及防治策略,明确分级诊疗及转诊流程,强化防治DMiVD重要性,为广大医师特别是基层医生及全科医生提供指导和建议,降低DMiVD的发生率、恶化率以及致残致死率。

基于风险管控的历史遗留硫磺冶炼废渣综合治理效果

为解决赤水河源头流域(云南段)历史遗留硫磺冶炼废渣40多年无序堆积导致流域水体持续酸化的污染问题,通过对“自然衰减”“异位修复”“风险管控”等治理途径分析,提出“风险管控+生态修复”模式开展了该区域内酸性废渣和废水的示范工程治理。在查明治理区域污染因子的基础上,采取“废渣防流失、复合阻隔控制、适生植物配比、污水收集处理和运行监测管理”的集成风险管控技术,分析工程实施前、实施中和实施后的固废属性,以及地表水、地下水和废渣渗滤液中污染因子的变化。结果表明:在投加0.35%~0.65%比例生石灰条件下,固废属性从第Ⅱ类一般工业固废改性为第Ⅰ类一般工业固废;工程完工时,地下水pH即可达标,硫酸盐超标倍数从最大5.3倍削减至1.2倍;工程实施3个月后,渗滤液pH稳定达标,硫酸盐超标倍数从最大3.2倍削减至1.7倍;工程实施7个月后地表水pH达标。基于风险管控的历史遗留硫磺冶炼废渣综合治理,能够满足管控目标,并初步完成了技术推广和应用。

实体企业金融化对债务融资的影响研究

利用2007—2020年中国A股上市公司财务数据,检验了实体企业金融化对债务融资的影响。研究发现:实体企业金融化对债务融资具有挤出效应,即金融化水平越高,企业总借款率与总负债率越低,这一结论在进行工具变量法内生性检验与替换衡量指标等稳健性检验后依然成立。异质性检验发现,实体企业金融化对债务融资的负面影响在货币紧缩期样本、国有企业样本、低市场化水平样本以及高行业竞争样本中更显著。机制分析表明,实体企业金融化通过加剧企业经营风险和增加盈余管理,提高了债权人的资金风险和信息风险,从而降低企业债务融资规模。研究结论对于加强实体企业金融化的监管以及通过抑制金融化优化企业融资决策具有参考价值。

气候政策不确定性与企业短债长用

构建企业层面的气候政策不确定性指数,基于中国2007—2022年上市公司数据,实证检验气候政策不确定性对企业短债长用的影响。研究发现,气候政策不确定性通过降低企业风险承担能力、债务管理能力以及外部绿色金融环境质量加剧企业短债长用的程度;异质性检验发现,在市场竞争越温和的地区和内部控制体系越严格、气候信息披露质量越高的企业,气候政策不确定性对企业短债长用的加剧程度有所缓解。此外,气候政策不确定性不仅加剧了企业短债长用,而且不利于企业的高质量成长并增加了股价崩盘风险。本文拓展了气候政策不确定性与企业投融资领域的相关研究,为新兴市场国家统筹协调气候政策与金融借贷政策提供了学理支持。

《欧盟Natech风险管理框架》下的环境风险管理体系及其对我国的启示

国际上将由自然灾害引发的技术事故称为Natech(natural hazard triggered technological disasters).作为全球工业大国和自然灾害最为严重的国家之一.我国自然灾害种类多、发生频率高,极易引发技术事故,造成严重的人员伤亡、经济损失和环境破坏.世界工业强国如日本、法国以及欧盟地区等较早地针对这类事件展开研究并制定政策,而中国相关研究还处于起步阶段.2022年欧盟发布的《欧盟Natech风险管理框架》为其成员国的Natech风险防控提供了目标、原则和方法.该研究全面综述了欧盟Natech风险管理框架,从关注事件特点及主要挑战、风险管理、风险评估要素到减轻风险方法的主要内容,同时系统总结了欧盟Natech风险识别、评价、应对措施等方面的先进理念,并通过与中国Natech风险管理现状及问题的对比分析,提出了对未来中国Natech风险管理的启示和建议:①加大Natech风险防控科研投入;②提升数字化平台建设水平;③加强Natech风险预防措施;④考虑全球气候变化影响.该研究试图通过学习、借鉴和吸收国际Natech风险管理的有益经验,为中国的Natech风险管理提供新思路和新方法.

癫痫患者手术治疗的护理风险管理及效果分析

目的分析手术治疗癫痫患者接受护理风险管理对不良事件发生率的影响。方法回顾性分析深圳大学总医院神经外科2022年1月至2023年8月行手术治疗癫痫患者的临床资料,将全部160例患者按照护理方式差别划分为2组,每组各80例。对照组实施常规护理管理,观察组实施护理风险管理。观察比较两组不良事件、疗效分级、护理满意度。结果与对照组相对比,观察组不良事件总发生率显著下降,两组存在统计学意义(p<0.05);观察组Engel分级Ⅰ级占比显著提高,两组存在统计学意义(p<0.05);观察组护理总满意率显著提高,两组存在统计学意义(p<0.05)。结论手术治疗癫痫患者接受护理风险管理有助于降低不良事件发生率,保证手术临床疗效,提高患者护理满意度。

心内科病房医疗器械供应可靠性管理研究

目的:构建心内科医疗器械供应可靠性管理指标体系,形成可靠性评估策略,提升可靠性管理水平。方法:从医疗器械使用前备件、使用中追踪和使用后处理3个环节,划分13个供应管理事项,在全程管理中开展工作差错概率、质量问题概率和诊疗风险预期评估,形成分级分层、质量规范、部门合作的全过程管理对策。采用随机抽样法选取2021-2022年深圳市龙华区人民医院心内科病房126台医疗器械运行的2000次数据资料,按照器械供应模式不同,分别采用部门协同式管理的协同管理模式(1000次)和可靠性评估管理的评估管理模式(1000次)进行器械供应管理。对比不同管理模式医疗器械供应可靠性和满意度。结果:采用评估管理模式的医疗器械使用前备件、使用中追踪、使用后处理3个环节以及供应全程的工作差错概率分别为(4.74±2.19)%、(4.39±1.85)%、(5.75±1.88)%和(8.29±1.30)%,均低于协同管理模式,其差异有统计学意义(t=5.367、5.663、5.432、6.847,P<0.05),质量问题概率分别为(4.13±1.67)%、(3.89±1.25)%、(5.28±1.84)%和(7.64±1.18)%,均低于协同管理模式,其差异有统计学意义(t=6.504、6.229、5.123、6.166,P<0.05),诊疗风险预期分别为(2.74±0.89)%、(2.47±0.96)%、(3.42±0.95)%和(4.02±1.09)%,均低于协同管理模式,其差异有统计学意义(t=7.027、6.509、8.915、9.266,P<0.05);相关工作人员对采用评估管理模式的医疗器械性能质量、消毒规范、供应及时性、协作水平和使用安全性的满意度分别为(93.54±4.65)%、(91.67±4.11)%、(94.58±4.34)%、(92.39±3.82)%和(90.97±3.76)%,均高于协同管理模式,其差异有统计学意义(t=2.809、3.030、2.843、4.939、3.739,P<0.05)。结论:可靠性管理模式可降低医疗器械供应中的工作差错问题和安全风险,提高供应可靠性,改善供应服务质量。

全生命周期失效模式在海工装备资产管理中的应用

受国际油价市场低迷波动影响,部分海工装备订单被纷纷弃单。为推进改革应对市场变化,国资委组建国海海工资产管理有限公司(以下简称国海公司)。国海公司结合自身特点,对海工装备出租前、出租中、出租后等阶段进行风险识别,分析潜在风险因素。通过FMEA风险失效模式分析,确定了90项潜在失效模式,分析潜在原因,进行风险评价,并根据评价结果采取相应的风险处置措施。

基于信息技术的高危孕产妇管理模式探索与实践

随着国家全面生育政策的调整,高危孕产妇的比例随之增加,借助信息技术改进高危孕产妇的孕期保健模式,激活社区卫生服务中心与上级医院之间合作机制,建立孕妇与医生之间的无缝沟通模式,能够有效保障高危孕产妇的医疗救治需求,提供高质量的孕产医疗保健服务。

个体化护理在慢性伤口门诊处理中对风险管理的影响分析

目的探究慢性伤口门诊处理过程中,采用个体化护理的效果及对风险管理的影响。方法选取2021年1月—2023年5月本院门诊收治的64例慢性伤口患者作为研究对象。按照入院顺序进行编码,并将奇数号牌患者作为对照组,实行常规护理;将偶数号牌患者作为观察组,实行个体化护理。对两组患者心理状态、伤口面积、并发症发生情况、护理满意度四个方面的差异性进行比较观察,分析个体化护理干预的效果。结果经过护理后,观察组患者SAS评分、SDS评分显著比对照组更低(P<0.05);护理后,两组患者伤口面积改善,观察组改善效果好于对照组(P<0.05);观察组并发症发生率低于对照组,差异有统计学意义(P<0.05);观察组患者护理总满意率优于对照组,差异显著有统计学意义(P<0.05)。结论个体化护理模式运用在慢性伤口门诊处理中的效果非常突出,可明显缩小伤口面积,纠正患者负面心态,避免不良并发症发生,患者对护理服务更加满意。

员工持股计划能抑制企业债务违约风险吗?

文章基于信号传递和内部治理的视角分析了员工持股计划对企业债务违约风险的影响。以2014—2021年中国沪深两市A股上市公司为样本,研究发现企业实施员工持股计划有效抑制了企业债务违约风险,其作用机理是通过降低融资约束和代理成本抑制企业债务违约风险。在异质性分析中发现,员工持股计划在非国有企业和低市场化的环境中发挥的抑制企业债务违约风险效果更显著。进一步研究表明,资金来源为员工薪酬和自筹资金、非高管员工认购占比高、锁定期长的员工持股计划抑制企业债务违约风险的效果更好。

改良型FMEA在颅脑外伤患者诊疗流程风险管理中的应用效果分析研究

目的研究改良型失效模式与效应分析法(FMEA)在颅脑外伤患者诊疗流程风险管理中的适用性,为创伤中心的规范化建设提供参考。方法将根因分析法融入失效模式与效应分析法中形成改良型FMEA,以“颅脑外伤患者的诊疗流程”为研究对象,计算其失效模式的风险优先指数,选取分值位列前3名的失效模式作为关键点进行根因分析,并采取相应的预防控制措施,在运行6个月后进行效果评价。结果经干预,这3项高风险失效模式的风险优先指数分值大幅下降;颅脑外伤患者的24小时内死亡率、7天内死亡率都明显下降;颅脑外伤患者的好转率明显升高。结论干预发挥了作用,降低了颅脑外伤患者诊疗流程的各种风险。改良型FMEA在颅脑外伤患者诊疗流程风险管理中的应用切实可行,该案例可扩展应用到创伤中心医疗流程的风险管理,对于推动创伤中心规范化建设具有重要的实践意义。