bluuebunny/crossref_metadata_2025 huggingface dataset:
Re-examining the testing effect as a learning strategy: the advantage of retrieval practice over concept mapping as a methodological artifact
Authors: Mayrhofer Roland , Kuhbandner Christof , Frischholz Katja
Published: December 2023

Several previous studies appear to have demonstrated that studying with retrieval practice produces more learning than studying with concept mapping, a finding based on which an extended use of retrieval practice in educational practice was recommended. However, a closer examination of the methods used in these previous studies reveals a crucial confounding variable: Whereas participants in the concept mapping conditions performed a concept mapping task without any subsequent memorizing of the learning material, participants in the retrieval practice conditions performed not only retrieval practice but also an additional memorization task, which doubled the total memorization time. The present preregistered study examined whether the advantage observed in the retrieval practice condition over the concept mapping condition in previous studies was actually driven by additional memorization rather than by retrieval practice. While we replicated the previous finding that retrieval practice in combination with additional memorizing produces more learning than concept mapping without additional memorizing, this advantage of retrieval practice over concept mapping vanished when participants in the concept mapping condition, too, memorized the learning material after having created a concept map. These findings demonstrate that the assumed advantage of retrieval practice over concept mapping in fact represents a methodological artifact. Besides serving as a reminder of the importance of a solid methodology, the present study also illustrates the importance of using of an adequate terminology. Depicting a learning strategy condition as “retrieval practice” when the condition actually encompasses not only retrieval practice but also additional memorizing obfuscates the possibility that observed memory advantages may not be fueled by retrieval practice, i.e., the learning strategy as such. We conclude by giving an outlook on the ramifications of our findings for cognitive and educational psychology.
Agency in schizophrenia and autism: a systematic review
Authors: Tan Denise P. W. , Carter Olivia , Marshall Darcy-Rose , Perrykkad Kelsey
Published: December 2023

Introduction

Previous research suggests that altered experiences of agency are an underlying vulnerability in both schizophrenia and autism. Here, we explore agency as a potential transdiagnostic factor by conducting a systematic review of existing literature investigating agency in autism and schizophrenia individually and together.

Methods

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted three systematic searches on PsycINFO, Embase, Medline, PubMed and Web of Science to identify studies that investigated (1) agency in schizophrenia, (2) agency in autism, and (3) agency in both schizophrenia and autism.

Results

A total of 31 articles met eligibility criteria for inclusion and data extraction, with 24 measuring agency in schizophrenia, 7 investigating agency in autism, and no articles comparing the two. Results show that, compared to control populations, agency is significantly different in every identified schizophrenia study and generally not significantly different in autism.

Discussion

Importantly, we identified a lack of studies using common tasks and a disproportionate number of studies investigating different dimensions of agency across the two conditions, resulting in limited grounds for valid comparison.

Systematic review registration

Prospero, CRD42021273373.
Fostering diagnostic competence in prospective mathematics elementary teachers through epistemic activities
Authors: Volkmer Jan Philipp , Eichler Andreas , Rathgeb-Schnierer Elisabeth
Published: December 2023

Research on fostering teachers’ diagnostic competence and thinking has become increasingly important. To this end, research has already identified several aspects of effective fostering of teachers’ diagnostic competence. One of the aspects is assignment of the role as a teacher in interventions but, so far, assignment of the role of student has hardly been considered. Based on a model of the diagnostic thinking process, this paper operationalizes the role of the student by solving specific tasks and the role of the teacher by analyzing student solutions. Furthermore, based on previous research, it is assumed that assigning both roles is effective in promoting diagnostic competence. The following research addresses the development of 137 prospective teachers’ diagnostic thinking in an experimental pre-post-test study with four treatment conditions, which vary prospective teachers’ working with tasks and students’ solutions to those tasks. The quantitative results show that a treatment integrating focus on tasks and students’ solutions is equally as effective as a treatment focusing solely on students’ solutions, and also that a treatment focusing solely on tasks has no effect.
Research trends in drama therapy: a bibliometric analysis based on Scopus
Authors: Korde Žanete , Šuriņa Sanita , Mārtinsone Kristīne
Published: December 2023

Aim

As drama therapy has become increasingly important in healthcare, the number of scientific publications has increased, complicating the orientation in the research field. Therefore, the aim of this study is to provide a comprehensive overview of research trends in drama therapy, assessing the impact factors of publications and analyzing the research structure.

Methods

Three hundred and ninety-five scientific articles indexed in Scopus were analyzed without time, geographic and language restrictions using bibliometric analysis methods - performance analysis, citation analysis, and science mapping. Data processing was performed using MS Excel, VOSviewer and Biblioshiny software.

Results

The work of the pioneers of drama therapy continues to be actively cited, influencing the development of drama therapy. Today’s leading researchers are increasingly engaging in collaborative research, working across disciplines and contributing to scientific progress. The hot topic of research is older adults and mental health. The diversity of terminology and the large volume of unpublished research point to the need for consolidation. Altmetric analysis would optimize the use of scientific information, promoting innovative research.

Conclusion

This is the first study using the Scopus database to perform an extensive bibliometric analysis of research articles on drama therapy applying Biblioshiny and VOSviewer software. The results of the analysis reflect the evolution of the field from its historical roots to academic maturity, highlighting its current dynamic growth and the trend of drama therapy to establish itself as an interdisciplinary field in the healthcare system. This work serves as a valuable resource for the scientific community, professionals, students, and librarians in the field, helping to optimize the use of scientific resources in drama therapy and contributing to its future development.
Dissecting clinical and biological heterogeneity in clinical states of bipolar disorder: a 10-year retrospective study from China
Authors: Zhu Ting , Kou Ran , Hu Yao , Yuan Minlan , Yuan Cui , Luo Li , Zhang Wei
Published: December 2023

Objectives

To dissect clinical and biological heterogeneity in clinical states of bipolar disorder (BD), and investigate if neuropsychological symptomatology, comorbidity, vital signs, and blood laboratory indicators are predictors of distinct BD states.

Methods

A retrospective BD cohort was established with data extracted from a Chinese hospital’s electronic medical records (EMR) between 2009 and 2018. Subjects were inpatients with a main discharge diagnosis of BD and were assessed for clinical state at hospitalization. We categorized all subjects into manic state, depressive state, and mixed state. Four machine learning classifiers were utilized to classify the subjects. A Shapley additive explanations (SHAP) algorithm was applied to the classifiers to aid in quantifying and visualizing the contributions of each feature that drive patient-specific classifications.

Results

A sample of 3,085 records was included (38.54% as manic, 56.69% as depressive, and 4.77% as mixed state). Mixed state showed more severe suicidal ideation and psychomotor abnormalities, while depressive state showed more common anxiety, sleep, and somatic-related symptoms and more comorbid conditions. Higher levels of body temperature, pulse, and systolic and diastolic blood pressures were present during manic episodes. Xgboost achieved the best AUC of 88.54% in manic/depressive states classification; Logistic regression and Random forest achieved the best AUCs of 75.5 and 75% in manic/mixed states and depressive/mixed states classifications, respectively. Myocardial enzymes and the non-enzymatic antioxidant uric acid and bilirubin contributed significantly to distinguish BD clinical states.

Conclusion

The observed novel biological associations with BD clinical states confirm that biological heterogeneity contributes to clinical heterogeneity of BD.
A social profile of deaths related to sickle cell disease in India: a case for an ethical policy response
Authors: Chattoo Sangeeta , Jain Dipty , Nashine Nidhi , Singh Rajan
Published: December 2023

India accounts for 14.5 percent of the global SCD newborns, roughly over 42,000 a year, second to sub-Saharan Africa. Despite the availability of cheap diagnostic and treatment options, SCD remains a largely neglected disease within healthcare policy and practice. Epidemiological modeling based on small, often dated, regional studies (largely from sub-Saharan Africa) estimate that between 50 and 90 percent of affected children will/die before the age of 5 years. This premise, coupled with targets of reducing under 5 mortality (SDG 4), privileges public health interventions for screening and prevention of new births, undermining investments in long-term health and social care. This paper presents a retrospective, descriptive analysis of the socio-demographic profile of 447 patients diagnosed with sickle cell or sickle-beta thalassemia, who died following admission at a tertiary care entre in India. We used anonymized hospital records of 3,778 sickle cell patients, admitted in pediatric and adult/medical wards between January 2016 and February 2021. A majority of hospital deaths occurred in the second and third decades of life, following a hospital admission for a week. The overall mortality during 2016–2019 was 14% with little gender difference over time. Contrary to our expectations, the number of hospital deaths did not increase during the first year of the COVID-19 pandemic, between 2020 and 2021. The conclusion highlights the importance of longitudinal, socio-demo-graphic data on deaths as providing important insights for identifying ethical policy interventions focused on improving SCD outcomes over time, reducing inequities in access to care, and preventing what might be considered “excess” deaths.
Sleep quality among non-hospitalized COVID-19 survivors: a national cross-sectional study
Authors: Hoang Huong Thi Xuan , Yeung Wing Fai , Truong Quyen Thi Mai , Le Cuc Thi , Bui Anh Thi My , Bui Quang Vinh , Le Quyen Thi Le , Quach Linh Ha
Published: December 2023

Objectives

Insomnia is a common symptom after COVID-19 infection; however, its current evidence was among hospitalized COVID-19 patients. This study aimed to assess the prevalence of insomnia and identify its association with depression and anxiety among non-hospitalized COVID-19 recovered population.

Methods

We conducted a cross-sectional online survey of 1,056 COVID-19 survivors within 6 months of initial COVID-19 infection and retrieved did not require hospitalization. The Insomnia Severity Index, and Depression Anxiety and Stress Scale-14 were used. Multivariate logistic regression was used to examine the associations between depressive and anxiety score, and participants’ insomnia level.

Results

The prevalence of insomnia was 76.1%, and among those, 22.8% of participants scored for severe insomnia. One third of participants reported worse sleep quality, shorter sleep duration, and harder to fall asleep, half reported more awaken nights after COVID-19 infection. Participants with depressive (OR 3.45; 95%CI 1.87–6.34) or anxiety (OR 3.93; 95%CI 2.52–6.13) had significantly higher odds of developing insomnia. Other risk factors of insomnia included pre-existing chronic conditions and higher education level, while COVID-19 symptoms and duration were not significantly associated.

Conclusion

Our study highlights the substantial burden of insomnia among non-hospitalized COVID-19 survivors and the significant association of depression and anxiety on the development of this long-term effect of COVID-19. These findings underscore the need for comprehensive interventions that address both sychological and sleeping health in this population.
Prevalence and associated risk factors for mental health problems among young adults in Fiji Island during COVID-19: a cross-sectional study
Authors: Khan Mohammad G. M. , Patwary Muhammad Mainuddin , Mamum Kabir A. , Chand Aneesh A. , Edward Kaamil , Prasad Kushal A. , Browning Matthew H. E. M. , Prasad Chaandvi , Shuvo Faysal Kabir
Published: December 2023

Introduction

The COVID-19 pandemic has had a significant impact on mental health globally. To understand the impact of the pandemic on mental health in Fiji, this study aimed to investigate the prevalence of anxiety disorder and depression among the young adults.

Method

An online survey was conducted to assess the prevalence of anxiety disorder and depression among the general population in Suva, Fiji during the COVID-19 pandemic. A total of 1,119 Fiji adults participated in the study. The study was conducted between May 20 to June 30, 2022, using a snowball sampling via social media platforms. The Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) scales were used to measure anxiety and depression, respectively. The COVID-19 related stressors was evaluated using the adapted SARS stressors assessment. Univariate and multivariate logistic regression analysis was performed to determine the factors influencing mental health among respondents.

Results

The result shows that a significant portion of individuals experienced each of the stressors, with the highest prevalence seen for hearing information about the severity of COVID-19. The prevalence of anxiety and depression was found to be 45% and 49%, respectively. Being female, having pre-existing illness and COVID-19 stressors were a risk factor to develop anxiety and depression. On the other hand, employed individuals and having high BMI was a protective factor against developing depression during COVID-19 lockdown.

Conclusion

These findings highlight the importance of addressing the mental health needs of the Fijian population during the COVID-19 pandemic and beyond.
The barriers and facilitators of implementing a national laboratory-based AMR surveillance system in Cambodia: key informants’ perspectives and assessments of microbiology laboratories
Authors: Mao Sovathiro , Soputhy Chansovannara , Lay Sokreaksa , Jacobs Jan , Ku Grace Marie , Chau Darapheak , Chhea Chhorvann , Ir Por
Published: December 2023

Background

Collecting data on antimicrobial resistance (AMR) is an essential approach for defining the scope of the AMR problem, developing evidence-based interventions and detecting new and emerging resistances. Our study aimed to identify key factors influencing the implementation of a laboratory-based AMR surveillance system in Cambodia. This will add additional insights to the development of a sustainable and effective national AMR surveillance system in Cambodia and other low- and middle-income countries.

Methods

Key informants with a role in governing or contributing data to the laboratory-based surveillance system were interviewed. Emerging themes were identified using the framework analysis method. Laboratories contributing to the AMR surveillance system were assessed on their capacity to conduct quality testing and report data. The laboratory assessment tool (LAT), developed by the World Health Organisation (WHO), was adapted for assessment of a diagnostic microbiology laboratory covering quality management, financial and human resources, data management, microbiology testing performance and surveillance capacity.

Results

Key informants identified inadequate access to laboratory supplies, an unsustainable financing system, limited capacity to collect representative data and a weak workforce to be the main barriers to implementing an effective surveillance system. Consistent engagement between microbiology staff and clinicians were reported to be a key factor in generating more representative data for the surveillance system. The laboratory assessments identified issues with quality assurance and data analysis which may reduce the quality of data being sent to the surveillance system and limit the facility-level utilisation of aggregated data. A weak surveillance network and poor guidance for outbreak response were also identified, which can reduce the laboratories’ opportunities in detecting critical or emerging resistance occurring in the community or outside of the hospital’s geographical coverage.

Conclusion

This study identified two primary concerns: ensuring a sustainable and quality functioning of microbiology services at public healthcare facilities and overcoming sampling bias at sentinel sites. These issues hinder Cambodia’s national AMR surveillance system from generating reliable evidence to incorporate into public health measures or clinical interventions. These findings suggest that more investments need to be made into microbiology diagnostics and to reform current surveillance strategies for enhanced sampling of AMR cases at hospitals.
Distal weight bearing in transtibial prosthesis users wearing pin suspension
Authors: Krout Adam J. , Weissinger Mathew J. , Mertens Joseph C. , Allyn Katheryn J. , Larsen Brian G. , McCarthy Nicholas K. , Garbini Joseph L. , Sanders Joan E.
Published: December 2023

Introduction

Low-level distal weight bearing in transtibial prosthesis users may help maintain perfusion and improve both proprioception and residual limb tissue health.

Methods

The primary objectives of this research were to develop a sensor to continuously measure distal weight bearing, evaluate how prosthesis design variables affected weight bearing levels, and assess fluctuations in distal weight bearing during at-home and community use.

Results

In-lab testing on a small group of participants wearing adjustable sockets demonstrated that if distal contact was present, when socket size was increased distal weight bearing increased and when socket size was reduced distal weight bearing decreased. During take-home use, participants accepted the distal weight bearing level set by the research team. It ranged between 1.1% and 6.4% BW for all days tested. The coefficient of variation (standard deviation/mean) ranged from 25% to 43% and was expected due in part to differences in walking style, speed, terrain, direction of ambulation, and bout duration. Two participants commented that they preferred presence of distal weight bearing to non-presence.

Discussion

Next steps in this research are to develop clinical practices to determine target distal weight bearing levels and ranges, and to simplify the design of the sensor and weight bearing adjustment mechanism for clinical use.
The perceptions of university students on technological and ethical risks of using robots in long-term care homes
Authors: Young Erika , Hung Lillian , Wong Joey , Wong Karen Lok Yi , Yee Amanda , Mann Jim , Vasarhelyi Krisztina
Published: December 2023

Introduction: The COVID-19 pandemic has disproportionately impacted long-term care (LTC) residents and exacerbated residents’ risks of social isolation and loneliness. The unmet emotional needs of residents in LTC have driven researchers and decision-makers to consider novel technologies to improve care and quality of life for residents. Ageist stereotypes have contributed to the underuse of technologies by the older population. Telepresence robots have been found to be easy to use and do not require older adults to learn how to operate the robot but are remotely controlled by family members. The study aimed to understand the perspectives of multidisciplinary university students, including healthcare students, on using telepresence robots in LTC homes. The study would contribute to the future planning, implementation, and design of robotics in LTC.

Methods: Between December 2021 and March 2022, our team conducted interviews with 15 multidisciplinary students. We employed a qualitative descriptive (QD) approach with semi-structured interview methods. Our study aimed to understand the perspectives of university students (under the age of 40) on using telepresence robots in LTC homes. Participants were invited to spend 15 min remotely driving a telepresence robot prior to the interview. A diverse team of young researchers and older adults (patient and family partners) conducted reflexive thematic analysis.

Results: Six themes were identified: Robots as supplementary interaction; privacy, confidentiality, and physical harm; increased mental well-being and opportunities for interactions; intergenerational perspectives add values; staffing capacity; environmental and cultural factors influence acceptance.

Conclusion: We identified a diverse range of perspectives regarding risk and privacy among participants regarding the implementation of telepresence robots in long-term care. Participants shared the importance of the voice of the resident and their own for creating more equitable decision-making and advocating for including this type of technology within LTC. Our study would contribute to the future planning, implementation, and design of robotics in LTC.
Which effective virtual reality (VR) interventions exist for the prevention and rehabilitation of intimate partner violence (IPV)?
Authors: Bastardas-Albero Adriana , Vall Berta , Pérez-Testor Carles , Losilla Josep-Maria
Published: December 2023

Purpose: Prevention and rehabilitation of intimate partner violence (IPV) is a very important topic due to its high prevalence, visibility, and potential to generate negative consequences in survivor’s physical and mental health. Previous interventions have used traditional, explicit approaches giving mixed results for both prevention and rehabilitation. However, the number of implicit interventions using technological innovations, specifically virtual reality (VR), is limited in this field. In this review, we aim to find the existing literature on immersive VR targeting prevention or rehabilitation of IPV.

Method: The search used several databases: PsycINFO by EBSCOHost, and Medline by PubMed, specifically set to find IPV intervention articles, published after 2010, that included VR in their intervention.

Results: 11 studies met all of the eligibility criteria and were included in the review.

Conclusion: VR has overall proven useful to tackle the prevention and rehabilitation of intimate partner violence, as it offers the unique possibility of experiencing a variety of situations from a different perspective, in a safe and controlled environment. Therefore, it is a tool which has great potential for transformation, as it allows for experiential and implicit learning.
Impacts of palm oil trade on ecosystem services: Cameroon as a case study
Authors: Acobta Ada N. , Ayompe Lacour M. , Egoh Benis N.
Published: December 2023

Palm oil (PO) producing countries are expanding oil palm cultivated areas to meet growing demands at the expense of tropical forests and the ecosystem services (ES) they provide. Current responses to the growing call for sustainable PO trade are based on environmental impacts such as deforestation, partly because most social impacts have not been studied. These responses are based on information from Asia and South America since little has been done in Africa. This study fills these gaps by synthesizing the impacts of PO trade on ES from peer-reviewed and gray literature. Our case study is Cameroon, which harbors part of the Congo basin forest and experiences fast deforestation rates. Fifty-three sources of literature were used for this study (53% peer-reviewed and 47% gray literature). We found that oil palm cultivation was reported to negatively affect 15 ecosystem services in 147 instances (85%) and positively affect seven ecosystem services in 25 instances (15%). The majority of negative impacts were on carbon sequestration and climate regulation (20%), habitat quality (13%) and genetic diversity (13%). The most positive impact was on food provision (8%). These results highlight the trade-offs between food provision and other ES. While current policy responses have focused on environmental impacts, many negative social impacts are associated with PO trade that should be addressed within new policy tools.
Effects of short-term drought, nitrogen application and their interactions on the composition and functional genes of soil microbial communities in alfalfa grassland on the Loess Plateau
Authors: Wang Ruobing , Zhang Jingui , Ma Tao , Lv Wenqiang , Zhang Zhixin , Shen Yuying , Yang Qian , Wang Xianzhi , Li Jiaxuan , Xiang Qian , Lv Long , Zhang Jianjun , Ma Jingyong
Published: December 2023

Drought and nitrogen addition are important factors influencing soil microorganisms and changes in the soil environment. In the future, droughts will become more frequent, shorter, and more severe. However, little is known about the soil organic carbon components, enzyme activity, and composition, structure, and functional genes of soil microbial communities under short-term drought and nitrogen application conditions. In this study, we used metagenomics sequencing technology to explore the changes in the composition and functional genes of soil microbial communities under short-term drought, nitrogen application, and their interactions in the artificial grasslands of the Loess Plateau. The results indicated that (I) short-term drought, nitrogen application, and their interactions all increased the particulate organic carbon (POC) content. (II) Short-term drought increased the contents of soil microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), as well as soil enzyme activity. (III) Short-term drought significantly increased the bacterial alpha diversity, whereas the interactions of short-term drought and nitrogen application enhanced the fungal alpha diversity. (IV) The interactions of short-term drought and nitrogen application inhibited Fusarium to prevent plant diseases. (V) Short-term drought enriched the relative abundance of genes related to carbon cycling and amino acid metabolism, while nitrogen application reduced genes related to carbon cycling but enriched genes related to glycan biosynthesis and metabolism. These results clearly showed that, short-term drought altered the composition and functional genes of soil microbial communities. Our research suggests that in the event of frequent short-term droughts in the future, nitrogen addition can be considered to maintain the diversity of soil microbial communities and sustain soil carbon and nitrogen cycling.
uspA gene-based phylogenetic analysis and antigenic epitope prediction for Escherichia coli strains of avian origin
Authors: Grakh Kushal , Mittal Dinesh , Prakash Anand , Kumar Ramesh , Jindal Naresh
Published: December 2023

Pathogenic Escherichia coli (E. coli) is responsible for various local and systemic infections in animal and human populations. Conventional methods for the detection and identification of E. coli are time-consuming and less reliable for atypical strains. The uspA gene has been widely used as a target for the detection of E. coli. The present study was aimed at phylogenetic analysis of the uspA gene sequences to determine the evolutionary relationships between the strains and other members of the Enterobacteriaceae family. In addition, the unique differences in the sequences of the current study with Salmonella and Shigella species were tested using Tajima’s molecular clock test. Antigenic epitope prediction was performed to locate the B-cell epitope region of the UspA protein. Two E. coli isolates of avian origin and strains from the National Center for Biotechnology Information (NCBI) database were used for prediction. The Immune Epitope Database (IEDB) server, Bepitope, ABCpred, SVMTrip, and ElliPro server were used to identify B-cell epitopes. The 3D structure was predicted using SWISS-MODEL. Phylogenetic analysis of the isolates from the current study revealed that both OM837340 and OM837341 sequences from the current study had maximum nucleotide homology (nt) of 99.87%–100% with E. coli isolates and minimum nt homology of 84.08% with Salmonella enteritidis and S. Hissar. The isolates in the current study had a homology of 98.87%, while the homology with Shigella species was 99.25%. Seven silent mutations were observed in the coding region of the UspA protein of ECO9LTBW (current study). Modeling of the UspA protein revealed a maximum homology of 67.86% with the Protein Data Bank in Europe (PDBe), also validated by the Ramachandran plot. No significant differences were found in the coding regions of uspA of Salmonella, Shigella, and E. coli with Tajima’s test. For the E. coli isolates, a total of 24 linear B-cell and seven discontinuous epitopes were predicted using in-silico analysis. When the results of the predicted peptides were compared, two peptides, namely ARPYNA and YSDLYTGLIDVNLGDMQKRISEE, were found suitable candidates. In conclusion, the uspA gene appears to be conserved among E. coli isolates and can be used for molecular detection.
Epidemiological and economic consequences of lumpy skin disease outbreaks on farm households in Khyber Pakhtunkhwa, Pakistan
Authors: Saqib Shahab E. , Yaseen Muhammad , Visetnoi Supawan , Sikandar  , Ali Shoukat
Published: December 2023

The livestock sector plays a crucial role in sustaining the livelihoods of millions of families across the world, especially in developing countries. However, farming households that rely on agriculture and livestock are particularly susceptible to the impacts of various infectious diseases and natural disasters. This study focuses on estimating the economic burden imposed on households by lumpy skin disease (LSD) in Pakistan and explores the effect of various socioeconomic factors on mortality ratio. Data were collected through a questionnaire survey from 406 farmers and were analyzed through descriptive statistics to calculate the monetary losses. In addition, the study employed fractional probit regression to identify factors affecting mortality ratio. The results demonstrate significant economic impacts of LSD on farm households in Pakistan, leading to direct and indirect losses and reduced milk productivity. Exotic cows were found to be more susceptible to mortality compared to indigenous cows. The study also found that farmers’ education, experience, household income per month, vaccination, domestic-commercial, commercial animals, and access to information were negatively associated with mortality. The findings of this study emphasize the need for preventative measures such as affordable vaccines, treatment, and improved livestock health and welfare to mitigate the negative effects of LSD on farmers’ income and the local economy.
Protein profiling and assessment of amyloid beta levels in plasma in canine refractory epilepsy
Authors: Phochantachinda Sataporn , Chantong Boonrat , Reamtong Onrapak , Chatchaisak Duangthip
Published: December 2023

Introduction

The relationship between epilepsy and cognitive dysfunction has been investigated in canines, and memory impairment was prevalent in dogs with epilepsy. Additionally, canines with epilepsy have greater amyloid-β (Aβ) accumulation and neuronal degeneration than healthy controls. The present study investigated plasma Aβ42 levels and performed proteomic profiling in dogs with refractory epilepsy and healthy dogs.

Methods

In total, eight dogs, including four healthy dogs and four dogs with epilepsy, were included in the study. Blood samples were collected to analyze Aβ42 levels and perform proteomic profiling. Changes in the plasma proteomic profiles of dogs were determined by nano liquid chromatography tandem mass spectrometry.

Results and discussion

The plasma Aβ42 level was significantly higher in dogs with epilepsy (99 pg/mL) than in healthy dogs (5.9 pg/mL). In total, 155 proteins were identified, and of these, the expression of 40 proteins was altered in epilepsy. Among these proteins, which are linked to neurodegenerative diseases, 10 (25%) were downregulated in dogs with epilepsy, whereas 12 (30%) were upregulated. The expression of the acute phase proteins haptoglobin and α2-macroglobulin significantly differed between the groups. Complement factor H and ceruloplasmin were only detected in epilepsy dogs, suggesting that neuroinflammation plays a role in epileptic seizures. Gelsolin, which is involved in cellular processes and cytoskeletal organization, was only detected in healthy dogs. Gene Ontology annotation revealed that epilepsy can potentially interfere with biological processes, including cellular processes, localization, and responses to stimuli. Seizures compromised key molecular functions, including catalytic activity, molecular function regulation, and binding. Defense/immunity proteins were most significantly modified during the development of epilepsy. In Kyoto Encyclopedia of Genes and Genomes pathway analysis, complement and coagulation cascades were the most relevant signaling pathways affected by seizures. The findings suggested that haptoglobin, ceruloplasmin, α2-macroglobulin, complement factor H, and gelsolin play roles in canine epilepsy and Aβ levels based on proteomic profiling. These proteins could represent diagnostic biomarkers that, after clinical validation, could be used in veterinary practice as well as proteins relevant to disease response pathways. To determine the precise mechanisms underlying these relationships and their implications in canine epilepsy, additional research is required.
Enhancing rumen microbial diversity and its impact on energy and protein metabolism in forage-fed goats
Authors: Belanche Alejandro , Palma-Hidalgo Juan Manuel , Jiménez Elisabeth , Yáñez-Ruiz David R.
Published: December 2023

Introduction

This study explores if promoting a complex rumen microbiota represents an advantage or a handicap in the current dairy production systems in which ruminants are artificially reared in absence of contact with adult animals and fed preserved monophyte forage.

Methods

In order to promote a different rumen microbial diversity, a total of 36 newborn goat kids were artificially reared, divided in 4 groups and daily inoculated during 10 weeks with autoclaved rumen fluid (AUT), fresh rumen fluid from adult goats adapted to forage (RFF) or concentrate (RFC) diets, or absence of inoculation (CTL). At 6 months of age all animals were shifted to an oats hay diet to determine their ability to digest a low quality forage.

Results and discussion

Early life inoculation with fresh rumen fluid promoted an increase in the rumen overall microbial diversity which was detected later in life. As a result, at 6 months of age RFF and RFC animals had higher bacterial (+50 OTUs) and methanogens diversity (+4 OTUs) and the presence of a complex rumen protozoal community (+32 OTUs), whereas CTL animals remained protozoa-free. This superior rumen diversity and presence of rumen protozoa had beneficial effects on the energy metabolism allowing a faster adaptation to the forage diet, a higher forage digestion (+21% NDF digestibility) and an energetically favourable shift of the rumen fermentation pattern from acetate to butyrate (+92%) and propionate (+19%) production. These effects were associated with the presence of certain rumen bacterial taxa and a diverse protozoal community. On the contrary, the presence of rumen protozoa (mostly Entodinium) had a negative impact on the N metabolism leading to a higher bacterial protein breakdown in the rumen and lower microbial protein flow to the host based on purine derivatives urinary excretion (-17% to -54%). The inoculation with autoclaved rumen fluid, as source of fermentation products but not viable microbes, had smaller effects than using fresh inoculum. These findings suggest that enhancing rumen microbial diversity represents a desirable attribute when ruminants are fed forages in which the N supply does not represent a limiting factor for the rumen microbiota.
Comparing Direct Deliveries and Automated Parcel Locker Systems with Respect to Overall CO2 Emissions for the Last Mile
Authors: Gutenschwager Kai , Rabe Markus , Chicaiza-Vaca Jorge
Published: December 2023

Fast growing e-commerce has a significant impact both on CEP providers and public entities. While service providers have the first priority on factors such as costs and reliable service, both are increasingly focused on environmental effects, in the interest of company image and the inhabitants’ health and comfort. Significant additional factors are traffic density, pollution, and noise. While in the past direct delivery with distribution trucks from regional depots to the customers might have been justified, this is no longer valid when taking the big and growing numbers into account. Several options are followed in the literature, especially variants that introduce an additional break in the distribution chain, like local mini-hubs, mobile distribution points, or Automated Parcel Lockers (APLs). The first two options imply a “very last mile” stage, e.g., by small electrical vehicles or cargo bikes, and APLs rely on the customers to operate the very last step. The usage of this schema will significantly depend on the density of the APLs and, thus, on the density of the population within quite small regions. The relationships between the different elements of these technologies and the potential customers are studied with respect to their impact on the above-mentioned factors. A variety of scenarios is investigated, covering different options for customer behaviors. As an additional important point, reported studies with APLs only consider the section up to the APLs and the implied CO2 emission. This, however, fully neglects the potentially very relevant pollution created by the customers when fetching their parcels from the APL. Therefore, in this paper this impact is systematically estimated via a simulation-based sensitivity analysis. It can be shown that taking this very last transport step into account in the calculation significantly changes the picture, especially within areas in outer city districts.
Observer-Based Nonlinear Proportional–Integral–Integral Speed Control for Servo Drive Applications via Order Reduction Technique
Authors: Kim Yonghun , Ye Hyunho , Lim Sun , Kim Seok-Kyoon
Published: December 2023

This study designs an advanced single-loop output feedback system for speed servo drive applications, in which a simple proportional–integral–integral (PII) controller equipped with nonlinear feedback and feed-forward gains is formed. The resultant feedback system shows the desired critically damped performance for wide-operating regions by actively handling the system parameter and load uncertainties. There are three contributions: first, the third-order observer estimates, independent from the system model, where the speed and acceleration are obtained using the position measurement with the order reduction property; second, the observer-based PII controller is compensated by active damping with a nonlinearly structured feedback and feed-forward gains; and, third, a guarantee is achieved on the desired critically damped performance through a closed-loop analysis. A hardware testbed that adopts a 500 W brushless DC motor is used to experimentally demonstrate performance improvements over certain constant torque regions under various scenarios.
Enhancing the Competitiveness of AI Technology-Based Startups in the Digital Era
Authors: Lee Byunguk , Kim Boyoung , Ivan Ureta Vaquero
Published: December 2023

Artificial Intelligence (AI) startups possess four key attributes; being small enterprises, adopting AI technology, undergoing digital transformation, and using big data systems to enhance their competitiveness. This study aims to identify the key influencing factors needed to enhance the competitiveness of AI technology-based startups and to suggest a decision-making model to improve the technology and business competitiveness of AI startups in the digital era. To achieve this, the hierarchy concept framework was built with four evaluation areas based on the mechanism-based view theory, and the 16 evaluation factors that can influence were identified through existing literature, combining factors related to the digital transformation, technological application, and business competitiveness of the startups. These factors were analyzed using the Analytic Hierarchy Process (AHP) by the survey, targeting experts in South Korea. The analysis results indicate that the subject area was the most crucial for the business competitiveness of AI startups. It was also revealed that the subject’s strategic mind is the most significant factor to AI startups’ success. In the case of two control groups, categorized as ‘AI experts’ and ‘startup experts’, AI experts chose the subject as the most important area, whereas startup experts selected the environment, and significant differences were observed in all other factors. The results of this study will provide implications for strengthening the business competitiveness of AI startups and factors important for the growth of AI startups in this era.
Effects of Soil Amendments on Soil Properties, Soil-Borne Pathogens, and Strawberry Growth after Dazomet Fumigation
Authors: Li Qingjie , Andom Okbagaber , Fang Wensheng , Yan Dongdong , Li Yuan , Wang Qiuxia , Jin Xi , Cao Aocheng
Published: December 2023

Soil fumigation can kill soil pathogens and solve the problem of crop continuous cropping. However, soil fumigation also has negative effects on the soil environment. One way to mitigate the negative effects is to apply soil amendments, but there is limited evidence of the effects of combining soil fumigation and amendments. This study was a controlled environmental pot trial. We measured the effects of dazomet fumigation combined with soil amendments on soil-borne pathogens, soil nutrients, enzyme activities, and strawberry growth. The results showed that dazomet fumigation combined with soil amendments significantly increased the content of ammonium nitrogen, available phosphorus and organic matter and increased soil activities by varying degrees. We also found that the control effect of soil-borne pathogens Fusarium spp. and Phytophthora spp. was further enhanced, reaching 88.97–96.88%. Correlation analysis showed that the growth indices of strawberries such as plant height, stem diameter, chlorophyll content, and fresh weight were negatively correlated with Fusarium spp. (R = −0.75, R= −0.62, R = −0.71, R = −0.88; p < 0.01) and Phytophthora spp. (R = −0.72, R= −0.72, R = −0.78, R = −0.91; p ≤ 0.001), respectively. The effect of fumigation combined with soil amendments was better than that of fumigation alone, and silicon fertilizer had the best effect. Our study suggests that dazomet fumigation combined with soil amendments can improve soil nutrient supply, activate soil enzyme activities, enhance the control effect of soil-borne pathogens, and thus promote strawberry growth.
Assessment of the Economic Profitability of Fattening Selected Chicken Genotypes in an Organic Farm
Authors: Obremski Kazimierz , Tyburski Józef , Wojtacha Paweł , Sosnówka-Czajka Ewa , Skomorucha Iwona , Pomianowski Janusz , Parowicz Paweł
Published: December 2023

The aim of this study was to evaluate whether production costs can be reduced and whether the profitability of organic chicken fattening can be increased by selecting the appropriate genotypes. Rhode Island Red (K-11) and Sussex (S-66) conservative chicken genotypes, as well as modern chicken genotypes such as slow-growing Hubbard JA 957 hybrids and fast-growing Ross 308 hybrids, were selected for the study. One hundred and sixty chickens were used in the experiment (forty birds per group). The birds were fed commercial organic complete feed up to 52 days of age and organic farm-made feed (to reduce costs) between 53 and 81 days of age. Population distribution was determined using the Kolmogorov–Smirnov test. The results were analyzed statistically using one-way analysis of variance (ANOVA) with multiple comparisons and the post hoc Tukey test at a significance level of p < 0.05. The 81-day fattening period (the minimum recommended period in organic farming) led to considerable weight deficits in Rhode Island Red and S-66 chickens and excessive slaughter/trade weights in Hubbard JA 957 and Ross 308 chickens. The feed conversion ratio was high in Rhode Island Red (K-11) and Sussex (S-66) chickens at 4.19 and 4.50, respectively, and much lower in Hubbard JA 957 and Ross 308 chickens at 2.79 and 2.53, respectively. The choice of chicken genotypes had a major impact on the profitability of organic farming, and the total costs of feed and other ingredients per kg of body weight were determined at EUR 3.83 for Rhode Island Red (K-11), EUR 3.90 for Sussex (S-66), EUR 6.57 for Hubbard JA 957, and EUR 6.62 for Ross 308 genotypes. The profitability of organic farming can be increased by selecting modern, meat-type, slow-growing chicken genotypes.
SIMONTO-Pea: Phenological Models to Predict Crop Growth Stages in BBCH of Grain and Green Peas (Pisum sativum) for Temporal Pest Management
Authors: Schieler Manuela , Riemer Natalia , Kleinhenz Benno , Saucke Helmut , Veith Michael , Racca Paolo
Published: December 2023

Many pests damage pea crops, which potentially leads to reduced quality and yield losses. Since pests occur at different phenological growth stages of pea crops, the prediction of growth stages, for example as BBCH stages, is beneficial. In this study, three models have been developed to simulate growth stages of grain and green pea crops, for the latter with early and late sowing dates. All data, such as BBCH stages and air temperature, were collected in Germany in a three-year study under practical farming conditions at 415 sample sites. For the development of each model, a Gompertz regression model based on the observed data was performed. The model validation suggests that each model precisely and reliably predicts pea crop growth stages for spring-sown peas. Amongst others, the RMSEIndex for grain peas was 3.4; for green peas, early and late sowing dates, respectively, they were 3.4 and 4.5. SIMONTO-Pea (SIMulation of ONTOgenesis) is the first model that predicts detailed pea crop growth stages based on the BBCH scale. This innovation is especially beneficial for users such as advisors and farmers dealing with spring-sown pea crops as a decision support system in monitoring and pest management according to pea crop growth stages.