bluuebunny/crossref_metadata_2025_split huggingface dataset:
Afterword
Authors: Ballestero Andrea 
Published: September 2023

Abstract
This afterword explores trust as a troubled and turbulent social relation that takes exuberant social forms and often operates as a contested ideology. It highlights how trust-seeking technologies yield unexpected effects, such as forms of sociality without social life, hyper-awareness of geographic context as a means for effective surveillance, a displacement of intimate arts of diplomacy in favour of resilience and distance, uncomfortable relations between captivity and trust, and a renewed awareness of how mistrust shapes expectations when promises are evanescent and interests difficult to discern.
Introduction
Authors: Fortis Beniamino 
Published: September 2023

Abstract
The close connection between Judaism and the notion of ‘relation’ can be appreciated by considering two essays by Martin Buber. In the first essay, he presents Judaism as constantly wavering between a condition of separation and a striving for unity. In the second essay, this Jewish polarity extends also to humankind in general, thanks to the paradigmatic meaning Buber recognises in Judaism.
The Authority to Define a Jew
Authors: Härtel Susanne 
Published: September 2023

Abstract
This article focuses on a rabbinic controversy between the Greek Jewish scholar Elijah Mizrah.i and his Iberian colleague Jacob Ibn Ḥabib in the Ottoman Empire at the beginning of the sixteenth century. The case at hand concerned specific legal questions regarding levirate marriage. These had become particularly difficult with the involvement of converts, posing fundamental questions about Jewish group affiliation. Analysing the related but contrasting legal opinions of Mizrah.i and Ibn Ḥabib, I suggest distinguishing between an intellectual approach and a traditionalist approach to answering these questions. Whereas earlier scholarship has attributed the scholars’ diverging conclusions mainly to their different cultural backgrounds, I argue that Mizraḥi and Ibn Ḥabib chose different lines of reasoning for strategic reasons, grounded in their particular political situations.
Rabbi Dow Marmur
Authors: Bayfield Tony , Splansky Yael , Marmur Michael , Marmur Elizabeth , Golby Amanda , Michaels Maurice , Newman Jeffrey , Rothschild Walter , Smith Chani , Smith Danny , Soetendorp Awraham , Tabick Jackie 
Published: September 2023

This obituary was first published in the London Jewish Chronicle, 11 August 2022
Rabbi Dow Marmur was one of the G'dolim, the Greats of his generation. Since his generation was that of the Shoah, his defiant determination, scholarship and humanity is an astonishing testimony to the rabbinic and human spirit.
Toward an Ecology of Disentanglement
Authors: Keulartz Jozef 
Published: September 2023

Abstract
The relationship between nature and culture is a major theme in the philosophical discourse on the Anthropocene. The best-known movements within Anthropocene thinking are ecomodernism and posthumanism. Both movements distance themselves from the idea that nature and culture are strictly separate domains. In the Anthropocene, this separation no longer appears tenable; nature and culture have become inextricably entangled. The world consists exclusively of hybrids, compositions of both human and nonhuman entities. Ecomodernists and posthumanists are of one mind in their criticism of the traditional nature movement, which believes that it can return to a past when nature and culture were still distinct entities and there was such a thing as “pristine” nature. I will argue that denying the possibility of any decoupling between humans and nonhumans will result in the latter being severely curtailed in their freedom to autonomously shape their own lives, and I will therefore argue for what I like to call an “ecology of disentanglement.”
Impedance trend from a symptomatic perielectrode cystic cavity following deep brain stimulation: illustrative case
Authors: Elberson Brooke , Scott Hayden , Dhall Rohit , Petersen Erika 
Published: September 2023

BACKGROUND
Deep brain stimulation (DBS) is a well-established neurosurgical intervention for a growing number of neurological and psychiatric diseases. Patients who are affected by Parkinson’s disease may benefit from DBS of either the subthalamic nucleus or the globus pallidus internus. Patients who undergo DBS often notice a significant reduction in their clinical symptoms; however, the procedure is not without risks. Multicenter studies have reported postoperative complications such as hardware infection, intracranial hemorrhage, and perielectrode edema.

OBSERVATIONS
The authors report a case of a perielectrode cyst managed conservatively. Tracking the impedance trend was a novel approach to monitor for changes within the cyst and to herald a clinical change in the patient. Perielectrode cystic formation can be a transient process that resolves spontaneously or with conservative, nonoperative management, and all diagnostic information is valuable in making clinical decisions.

LESSONS
Impedance values have provided an appropriate estimation of this patient’s clinical picture. The authors suggest treatment of edema and a cyst after DBS lead implantation through conservative management and observation, avoiding the removal of hardware if a patient’s clinical picture is either stable or improving and forgoing additional clinical imaging if the impedance values are trending in an appropriate direction.
Recurrence of a large intracranial fusiform aneurysm treated with overlapping Pipeline embolization devices: illustrative case
Authors: Kumar Jeyan Sathia , Dabhi Nisha , Raper Daniel M. S , Capek Stepan , Crowley R. Webster , Kalani M. Yashar , Kellogg Ryan T , Park Min S 
Published: September 2023

BACKGROUND
Flow diversion, specifically with the Pipeline embolization device (PED), represents a paradigm shift in the treatment of intracranial aneurysms. Several studies have demonstrated its efficacy and at times superiority to conventional treatment modalities for aneurysms with a fusiform morphology, giant size, or wide neck. However, there may be a nonsignificant risk of recurrence after flow diversion of these historically difficult-to-treat aneurysms, relative to aneurysms with a more favorable morphology and size (i.e., saccular, narrow necked). To date, only three papers in the literature have demonstrated the recurrence of a completely occluded aneurysm on follow-up.

OBSERVATIONS
The authors describe a patient with a giant middle cerebral artery fusiform aneurysm treated with multiple telescoping PEDs. On the 3-month follow-up angiogram, there was complete occlusion of the aneurysm. The patient was lost to follow-up and presented 4 years later with a recurrence of the aneurysm between PED segments, requiring retreatment. The patient represented 3 years posttreatment with the need for repeat treatment of the fusiform aneurysm due to separation of the existing PEDs along with stent reconstruction. At the 20-month follow-up after the third treatment, the initial aneurysm target was found to be occluded.

LESSONS
This case illustrates the need for long-term follow-up, specifically for patients with giant wide-necked or fusiform aneurysms treated with overlapping PEDs.
Waldwissenschaften an der HAFL: eine Erfolgsgeschichte
Authors: Pauli Bernhard 
Published: September 2023

Abstract
Auf Initiative der kantonalen Forstdirektorinnen und -direktoren entstand 2002 eine forstliche Ausbildung auf Stufe Fachhochschule. Im September 2003 nahmen neun Studierende ihr Studium der Forstwirtschaft an der damaligen Schweizerischen Hochschule für Landwirtschaft (SHL) auf. Die Ausbildung zum Forstingenieur und zur Forstingenieurin FH stiess in der Branche anfänglich auf Skepsis. Dank ihrer praxis- und produktionsorientierten Ausbildung waren die Absolventinnen und Absolventen aber bestens geeignet, um Kernaufgaben in den kantonalen Forstdiensten und in Forstbetrieben wahrzunehmen. Schon bald waren sie aber gesuchte Fachleute, die sich in der Praxis bewährten. Die Studierendenzahlen stiegen deutlich an. Mit der Integration der Hochschule für Agrar-, Forst- und Lebensmittelwissenschaften (HAFL) in die Berner Fachhochschule (BFH) wurden Aktivitäten im Bereich Forschung und Entwicklung stetig weiterentwickelt. Heute sind im Fachbereich Waldwissenschaften gut 50 Mitarbeitende beschäftigt, die sich neben der Ausbildung auf Bachelor- und Masterstufe mit wirtschaftlichen und technischen bis hin zu ökologischen Fragestellungen rund um das Ökosystem Wald beschäftigen.
Ein integrierter landschaftlicher Ansatz für den Erhalt und die Wiederherstellung von Waldlandschaften
Authors: Brantschen Evelyn Coleman , Boillat Sébastien , Feurer Mélanie , Garcia Claude A. , Markovic Jelena , Melnykovych Mariana , Wilkes-Allemann Jerylee , Waeber Patrick O. 
Published: September 2023

Abstract
Wälder sind als zentrales Element der Landschaft (Waldlandschaften) von grosser Bedeutung für die Erreichung der Ziele für nachhaltige Entwicklung (SDGs) und spielen eine wichtige Rolle für die lokale Wirtschaft und die soziale Identität. Sie stehen aber gleichzeitig vor grossen Herausforderungen, indem sie durch Landnutzungsänderungen, steigende Holznachfrage oder den Klimawandel bedroht sind. Um Waldlandschaften mit ihren Leistungen langfristig zu sichern, ist es entscheidend, integrierte Ansätze zu ihrer Erhaltung und Wiederherstellung zu verfolgen. Sektoralen Ansätzen fehlt oft der Erfolg, weshalb integrierte Landschaftsansätze (ILAs) an Bedeutung gewinnen. Diese betonen die Multifunktionalität und eine ganzheitliche Betrachtung von Waldlandschaften. Der theoretische Rahmen von ILAs und der Wiederherstellung von Waldlandschaften (FLR) wird in diesem Artikel anhand von Fallstudien aus verschiedenen Regionen im Ausland und in der Schweiz untersucht. Es werden Herausforderungen und Möglichkeiten bei der Umsetzung dieser Ansätze diskutiert. Dabei wird die Bedeutung einer integrierten Herangehensweise zur Erhaltung und Wiederherstellung von Waldlandschaften für die nachhaltige Entwicklung besonders hervorgehoben. Es wird empfohlen, Landschaftsansätze und sozialökologische Innovationen miteinander zu verbinden, um die Vorteile von Waldlandschaften optimal zu nutzen und die Widerstandsfähigkeit von Ökosystemen und Gemeinschaften zu stärken. Eine vertiefte Kenntnis der Verbindungen zwischen Wald, Landschaft und Menschen sowie Erfahrungen mit ILA- und FLR-Strategien können dazu beitragen, den Landschaftsansatz in der Waldpolitik weiter voranzubringen.
IoT system architecture for monitoring and analyzing public transport data
Authors: Zakutynskyi Ihor , Rabodzei Ihor 
Published: September 2023

The crucial role of public transport in the economy and modern city development is widely acknowledged. However, contemporary public transport systems are confronted with several challenges that require resolution. These challenges include real-time monitoring, data management, passengers flow optimization, and road accident prediction. The Internet of Things (IoT) presents a promising avenue for the development of modern public transport management systems. By leveraging a diverse range of technologies, such as sensors, edge devices, cloud computing, and various communication infrastructures, IoT systems can enable the creation of robust and automated public transport infrastructure. In this research, we propose an architecture for a public transport monitoring and management system. The proposed system can effectively collect, store, and monitor public transport data, thereby facilitating efficient management and timely response to risks that arise in the transport system. Implementation of such a system would enable public transport administrators to monitor and swiftly respond to potential problems such as overloaded passenger flows, emergencies, and technical issues with transport systems.
Investigation of arranging doctor schedules during the COVID-19 outbreak by using a decision support system
Authors: Pandey Vijay Kumar , Rastogi Ajay 
Published: September 2023

People with minor symptoms are isolated at home, while those with severe symptoms are treated in hospitals. The hospital burden has so increased excessively. Healthcare workers experience physical tiredness as a result of stress. In addition to the growing workload, healthcare providers have psychological issues due to their worry of contracting an infection and spreading it to others. Healthcare personnel needs to be protected and given adequate working circumstances. Since protective gear including gloves that are secure, respiratory protection, and eyewear are crucial for the protection of medical professionals exposed to the virus, medical treatment should also be well arranged for. The fast-spreading COVID-19 epidemic has impacted numerous individuals throughout the globe. Considering the strong infectivity, governments issue advisories to stay at home or enact policies like lockdowns to prevent the spread of the illness. Arranging doctor scheduling is one of the crucial difficulties. As part of this study, create a doctor scheduling arrangements with a hospital in Turkey during the COVID-19 epidemic. In order to sustain activity in the new departments while lightening the load in the old departments, the hospital built three new COVID-19-related departments. To solve the arranging doctor scheduling issue, provide a Mixed Integer Programming (MIP) paradigm to turn the problem into a Decision Support System (DSS). The consequential schedules maintain healthcare delivery throughout all departments while distributing their effort evenly by reducing the risk of the doctors contracting the illness.
Predicting future housing prices: a machine learning approach
Authors: Verma Pushpendra Kumar , Arya Satyendra , Asbe Chetana 
Published: September 2023

In our ecosystem, the real estate sector is the least transparent. Daily changes in housing prices as well as sometimes exaggerated prices rather than valuations are a part of life in the housing market. Our research project's major focus is on predicting future housing prices using actual machine learning. Here, we want to concentrate our judgments on each fundamental factor that goes into calculating the price. Machine learning has played a significant role in picture identification, spam restructuring, normal speech command, product suggestion, and medical diagnosis in recent years. The current machine learning method aids us in improving security warnings, maintaining public safety, and improving medicinal advancements. Machine learning technology also improves customer service and makes automobiles safer. The current research discusses the prediction of future housing prices provided by a machine learning system. The data was preprocessed after it was collected. In this procedure, we employ the Forest Neural Gradient Boosting Algorithm (FNGBA). We evaluate and compare several prediction techniques for the selection of prediction methods. Our findings demonstrate the necessity for a successful approach to the problem and the capability of our method to provide predictions that can be compared to existing models of housing price prediction. When compared to employing independent methods, the findings showed that this technique delivers the least mistake and the maximum accuracy.
Predicting software defects with swarm-intelligence-based machine learning algorithm for improved process quality
Authors: Gupta Rajesh , Rajkumar Avinash , N. Beemkumar 
Published: September 2023

The quality and effectiveness of software systems may be significantly impacted by Software Defects (SD). Therefore, enhancing process quality is essential for controlling and minimizing the incidence of faults. Implementing reliable Software Development (SDe) processes and best practices is one way to do this information. SD, commonly referred to as software bugs or software mistakes, are defects or errors that occur in computer programs and cause them to act up or create unintended outcomes. These vulnerabilities may appear for several causes, including programming mistakes, poor design choices, or issues with the SDe cycle. The prediction of software problems based on Machine Learning (ML) using an Enhanced Artificial Neural Network (E-ANN) is implemented in this study to increase software quality and testing effectiveness. Particle swarm optimization and grey wolf optimization, these two algorithms named grey wolf swarm optimization algorithm (GWSA), are combined to recognize the corresponding compensation of the methods following the respective benefits and drawbacks. The hybrid algorithm-based model to the conventional hyperparameter optimization strategy and a single swarm intelligence algorithm's investigation of investigational consequences from six data sets shows that the hybrid algorithm-based model has high and enhanced indicators. Processed by the autoencoder, the model's performance has also improved.
The dynamic causality model on foreign institutional investments and nifty indices
Authors: Amudha R. , Kanna K. S. , Dhanalakshmi A. , Rangaswamy Easwaramoorthy 
Published: September 2023

Post LPG, the Foreign Institutional Investors (FIIs) Investments, has created a massive impression on the Indian Equity market as well as the Indian economy, contributing toward several financial reforms of the Indian Government, RBI and SEBI, to a major extent, dancing to the tune of, the various Indian and other global economic crisis, to name a few, the US subprime crisis, demonetization in India and the Covid ’19 pandemic lockdown. The recent Covid-19 pandemic triggered fears of global recession due to which, the foreign investors started sculling back to pull out from the equity markets in India, a total net outflow of Rs. 1,12,189 crore (Rs.59,377.1 crore syphoned out from equities and Rs.52,811 crore from the debt segment) the highest withdrawal ever, in March 2020 by the FPIs, had a worst impact on the Indian Equity Market to the extent of a enormous drop of 1203 points of BSE Sensex and the broader NSE Nifty Index tanked 344 points in March 2020. This negative economic effect has prompted to analyze the impact of the FIIs Investments not only on the India’s major Index, i.e., Nifty but also its selected sectoral indices. The impact of FII investments has been specifically analyzed on both bidirectional and uni-directional relationship applying Granger causality model, considered more appropriate and have chosen the VAR framework for suitable outcome of the results of this study.
The difference in the skills employment, job training satisfaction and job engagement by training duration among NDTS Apprentices in Southern region of Malaysia
Authors: Doraisamy Hosalya Devi , Rahman Azmanirah Binti Abdul 
Published: September 2023

Globalization, technological advancements, and changes in work organization have increased the demand for skilled employment in many countries. In the absence of skills, employers are less likely to be able to find employment and are more likely to face skills-related unemployment, which decreases their competitiveness. In order to address the challenge of promoting skilled employability, the National Dual Training System (NDTS) apprenticeship training programme is an essential component. This enhances the ability of employees to find employment opportunities and earn income with the help of their skills. The development of skilled employability is one of the most effective strategies for ensuring a successful transition to the workforce and the access to career-oriented employment. Furthermore, the NDTS provides employees with the skills, knowledge, competencies, and attitudes necessary to find employment and to survive in an unstable economic environment. The performance of an employee is also related to the level of job satisfaction along with the skills of the employee. It has been demonstrated that satisfied employees perform better, resulting in a higher productivity level in the organization. Also, employees must be provided with necessary job training to ensure they develop the necessary skills to fulfill the requirements of their respective roles as well as prepare themselves for employment in specialized fields. The existence of training opportunities is likely to lead to employees remaining satisfied with an organization for a longer period of time. The improvement of employee engagement and workplace excellence can also be observed in this regard. As part of this study, the focus will be on identifying how the duration of the NDTS apprenticeship training program affects the employment of skilled employees. This will affect the satisfaction of job training, and the engagement of employees on the job.
Psychological skills in athletic rehabilitation (AR): trainers and therapists perceptions
Authors: Gupta Prerana , Balla Suhas , Verma Sneha 
Published: September 2023

Sport-injury recovery is said to benefit from psychological abilities, yet there is little use of mental imaging in treatment protocols. To determine if the opinions of Physical Therapists (PTs) and Athletic Trainers (ATs) on the healing process for harmed sportsmen may be sped up by the use of positive language, setting targets, and mental imagery in treatment. To participate in an experiment that was only administered once and asked participants about the efficiency of psychological techniques, the ATs and PTs were approached for increasing adherence and speeding up the healing of wounded sportsmen enduring treatment. A total number of 309 ATs and 356 PTs responded out of the one thousand ATs and PTs that were randomly selected. The Attitudes about Imagery (AAI) study gauges opinions on psychological techniques for improving injured athletes' commitment and recovery speed. The AAI asks questions on demographics and measures attitudes regarding the influence of pain management on injured athletes' compliance with therapy and utilizes fifteen inquiries and a Likert scale with seven points to measure recovery speed. To ascertain if variations in views occurred due to the professionals' educational background, training experience, and interest, we performed 1-way analyses of variances. The usefulness of psychological skills to support the recovery process was generally viewed favourably by ATs and PTs. The utilization of mental abilities is considered in terms of clinical ramifications.