bluuebunny/crossref_metadata_2025 huggingface dataset:
Network meta-analysis of the efficacy of four traditional Chinese physical exercise therapies on the prevention of falls in the elderly
Authors: Cheng Meichao , Wang Ya , Wang Shun , Cao Wenxiao , Wang Xianliang
Published: January 2023

Introduction

In recent years, traditional Chinese exercises have been passed down and reformed to play a significant role in the study of interventions for the treatment of falls in older people. However, few studies have evaluated the efficacy of various Chinese traditional exercises in the intervention of falls behavior in the elderly. In this study, four Chinese traditional exercises commonly used in clinical practice were selected as subjects to systematically evaluate the effectiveness of Tai Chi, Ba Duan Jin, Yi Jin Jing and Wu Qin Xi in intervening in the treatment of fall behavior in the elderly.

Methods

We conducted a systematic review in accordance with the PRISMA guidelines. Four published randomized controlled trials (RCTs) of traditional Chinese exercise interventions for the treatment of falls behavior in older adults were searched through authoritative databases such as CNKI, Web of Science, PubMed, EMbase and the Cochrane Library, all from the time of construction to November 2022.

Results

A total of 45 studies with 4 traditional interventions were included. Ba Duan Jin was more effective in improving TUGT [SMD = −1.93 (−2.49, −1.38),P< 0.05] and MFES [SMD = −33.45 (−63.93, −2.97),P< 0.05], while Yi Jin Jing was more effective in enhancing ECLSB [SMD = −0.19 (−5.12, −4.74),P< 0.05] and BBS [SMD = −5.79 (−10.80, −0.78),P< 0.05], both of which showed better effects.

Discussion

The present evidence suggests that all four traditional Chinese body-building exercise therapies have a preventive effect on fall behavior in older adults. In clinical treatment and daily physical exercise, two exercises, BaDuan Jin and Yi Jin Jing, may be preferred to reduce the risk of falls in the elderly, but the exercise regimen of Qigong should be selected scientifically and rationally according to their actual conditions.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/#myprospero.
Sleep disorders as a prospective intervention target to prevent drug relapse
Authors: Sun Chao , Wang Xiaojun , Huang Xuetong , Shao Yongcong , Ling Anna , Qi Huanhuan , Zhang Zhuolin
Published: January 2023

Objective

The high rate of relapse has become the primary obstacle of drug rehabilitation. In this study, we explored the relationship between sleep disorders and relapse inclination in substance users, as well as the potential mediating mechanisms and corresponding interventions.

Methods

A total of 392 male substance users were recruited to complete the questionnaires on sleep disorders, quality of life and relapse inclination. On account of this, 60 participants with sleep disorders were randomly screened and allocated to the intervention and control groups. The former received 12 weeks of Health Qigong aimed at treating sleep disorders, whereas the latter performed their regular production work.

Results

Sleep disorders had a positive effect on relapse inclination, quality of life was a potential mediator of this relationship, and 12-week Health Qigong designed to treat sleep disorders improved not only their sleep quality but also their overall quality of life, which in turn reduce the tendency to relapse.

Conclusion

Current research not only explores the high-risk factors influencing relapse, but also develops customized intervention strategies, which have theoretical and practical implications for decreasing relapse and increasing abstinence.
Patient-reported experience of clinical care of osteogenesis imperfecta (OI) during the COVID-19 pandemic
Authors: Smyth Debra , Hytiris Monica , Kelday Coreen , McDonnell Ciara , Burren Christine , Gardner Adrian , Mills Lisa , Parekh Susan , Semler Oliver , Stewart Angela , Westerheim Ingunn , Javaid Muhammad Kassim , Osborne Patricia , Ahmed S. Faisal
Published: January 2023

Background

Research on the effects of the COVID-19 pandemic on people with rare diseases is limited. Few studies compare healthcare throughout the progression of the ongoing pandemic.

Aims

To assess the impact of the pandemic on individuals with osteogenesis imperfecta across two consecutive years, understand what challenges were encountered, and analyse the experience of remote consultation.

Methods

An initial survey was distributed following the first lockdown in August 2020, and a second survey in April 2021. The surveys explored four themes- effects on therapy, alternatives to consultation, effect on mental health, and perceived risks of COVID-19.

Results

In the 2020 survey, of the 110 respondents, 69 (63%) had at least one appointment delayed due to the lockdown, compared with 89 of the 124 respondents (72%) in 2021. Of the 110 respondents in 2020, 57 (52%) had a remote consultation, increasing to 92 of 124 (74%) in the follow-up survey. In the 2020 survey 63 of 91 respondents (69%) expressed anxiety due to lockdown, compared with 76 of 124 (61%) in 2021. The percentage of total respondents expressing a preference for remote consultation was 48% in 2020, increasing to 71% in 2021.

Conclusions

The pandemic has had widespread effects on the mental and physical health of those with OI. These effects, alongside appointment delays, have increased as the pandemic progresses. Encouragingly, the increasing preference for remote consultation may indicate that this could be a viable long-lasting alternative to face-to-face appointments, especially for patients who previously traveled vast distances for specialist care.
Cultural adaptation in television technology for older adults with dementia in care settings
Authors: Wong Karen Lok Yi , Hung Lillian
Published: January 2023

Introduction

There is a lack of literature on the cultural adaptation of technologies for dementia care. This paper presents an example of the cultural adaptation of a television video about drinking water for older Chinese adults with dementia in care settings, in Vancouver, Canada.

Method

We refer to the cultural adaptation process (CAP) model to guide the cultural adaptation process by collecting and incorporating feedback from different parties into the culturally adapted video, including Phase 1 local consultations and information gathering, phase 2 iterative testing and adaptation, and phase 3 finalizing adaptation.

Results

We also referred to the Ecological Validity Model (EVM) to present the adjustments we made to the video from the cultural adaptation. We adjusted the video on seven domains suggested by the EVM: goal, context, content, language, people, concept, and method.

Discussion

We draw attention to the opportunities and challenges of the cultural adaptation of technology into a new community. Based on our lessons, we outline concrete suggestions about what aspects of, and how, cultural adaptation can be made to promote cultural inclusivity in technology development and implementation.
Digital innovations in the post-pandemic era towards safer and sustainable food operations: A mini-review
Authors: Halim-Lim Sarina Abdul , Baharuddin Azan Azuwan , Cherrafi Anass , Ilham Zul , Jamaludin Adi Ainurzaman , David Wahyudi , Sodhi Harsimran Singh
Published: January 2023

Though the pandemic has created an imbalance and disrupted the economy in the food industry, it has had a positive impact on speeding the acceptance of the industry towards digital innovations (DI). The shift toward digitalization is leading the food industry to leverage innovations that can serve the dual purpose of safer and sustainable food operations. This review synthesizes the rapidly growing literature on digital technology used as the response to the emergence of food safety and sustainability issues during the COVID-19 pandemic. Opportunities to improve thirteen food safety management system components and three sustainability components including economics, environmental and social were identified. The review determined that blockchain and IoT have the most prominent role in improving food safety, especially the component of traceability and monitoring and inspection.
Innovative and Needs-led research on β-thalassemia treatment methods
Authors: Dan Mihai-Octavian , Gutu Bianca-Ioana , Severin Emilia , Tanase Vlad-George
Published: January 2023

Beta-thalassemia is a well-known blood genetic disorder inherited in an autosomal recessive manner. Beta-thalassemia is found everywhere in the world as a rare, relatively rare, or common disease depending on the ethnic population. Affected individuals have chronic anemia associated with delayed growth, pale skin, weakness, fatigue, and more serious complications resulting in early death. Those with the severe form need frequent lifelong transfusions and depend on blood donations to survive. This literature mini-review highlights the healthcare needs that are not optimally met by people living with beta-thalassemia. The needs-led research can help to improve clinical outcomes through more appropriate management of the disease, increase provider satisfaction, and reduce the cost of care.
Using robot-assisted stiffness perturbations to evoke aftereffects useful to post-stroke gait rehabilitation
Authors: Chambers Vaughn , Artemiadis Panagiotis
Published: January 2023

Stroke is a major global issue, affecting millions every year. When a stroke occurs, survivors are often left with physical disabilities or difficulties, frequently marked by abnormal gait. Post-stroke gait normally presents as one of or a combination of unilaterally shortened step length, decreased dorsiflexion during swing phase, and decreased walking speed. These factors lead to an increased chance of falling and an overall decrease in quality of life due to a reduced ability to locomote quickly and safely under one’s own power. Many current rehabilitation techniques fail to show lasting results that suggest the potential for producing permanent changes. As technology has advanced, robot-assisted rehabilitation appears to have a distinct advantage, as the precision and repeatability of such an intervention are not matched by conventional human-administered therapy. The possible role in gait rehabilitation of the Variable Stiffness Treadmill (VST), a unique, robotic treadmill, is further investigated in this paper. The VST is a split-belt treadmill that can reduce the vertical stiffness of one of the belts, while the other belt remains rigid. In this work, we show that the repeated unilateral stiffness perturbations created by this device elicit an aftereffect of increased step length that is seen for over 575 gait cycles with healthy subjects after a single 10-min intervention. These long aftereffects are currently unmatched in the literature according to our knowledge. This step length increase is accompanied by kinematics and muscle activity aftereffects that help explain functional changes and have their own independent value when considering the characteristics of post-stroke gait. These results suggest that repeated unilateral stiffness perturbations could possibly be a useful form of post-stroke gait rehabilitation.
Leveraging explainability for understanding object descriptions in ambiguous 3D environments
Authors: Doğan Fethiye Irmak , Melsión Gaspar I. , Leite Iolanda
Published: January 2023

For effective human-robot collaboration, it is crucial for robots to understand requests from users perceiving the three-dimensional space and ask reasonable follow-up questions when there are ambiguities. While comprehending the users’ object descriptions in the requests, existing studies have focused on this challenge for limited object categories that can be detected or localized with existing object detection and localization modules. Further, they have mostly focused on comprehending the object descriptions using flat RGB images without considering the depth dimension. On the other hand, in the wild, it is impossible to limit the object categories that can be encountered during the interaction, and 3-dimensional space perception that includes depth information is fundamental in successful task completion. To understand described objects and resolve ambiguities in the wild, for the first time, we suggest a method leveraging explainability. Our method focuses on the active areas of an RGB scene to find the described objects without putting the previous constraints on object categories and natural language instructions. We further improve our method to identify the described objects considering depth dimension. We evaluate our method in varied real-world images and observe that the regions suggested by our method can help resolve ambiguities. When we compare our method with a state-of-the-art baseline, we show that our method performs better in scenes with ambiguous objects which cannot be recognized by existing object detectors. We also show that using depth features significantly improves performance in scenes where depth data is critical to disambiguate the objects and across our evaluation dataset that contains objects that can be specified with and without the depth dimension.
Co-creating a suite of patient decision aids for parents of an infant or young child with differences of sex development: A methods roadmap
Authors: Lightfoot Sophie , Carley Meg , Brinkman William , Gardner Melissa D. , Gruppen Larry D. , Liang Noi , Pinkelman Kendra , Speiser Phyllis W. , Suorsa-Johnson Kristina I. , VanderBrink Brian , Wisniewski Jessica , Sandberg David E. , Stacey Dawn
Published: January 2023

Introduction

Parents and guardians of infants and young children with differences of sex development (DSD) often face numerous health and social decisions about their child’s condition. While proxy health decisions can be stressful in any circumstance, they are further exacerbated in this clinical context by significant variations in clinical presentation, parental lack of knowledge about DSD, irreversibility of some options (e.g., gonadectomy), a paucity of research available about long-term outcomes, and anticipated decisional regret. This study aimed to engage clinicians, parents, and an adult living with DSD to collaboratively co-design a suite of patient decision aids (PDAs) to respond to the decisional needs of parents and guardians of infants and young children diagnosed with DSD.

Methods

We used a systematic co-design process guided by the Ottawa Decision Support Framework and the International Patient Decision Aids Standards (IPDAS). The five steps were: literature selection, establish the team, decisional needs assessment, create the PDAs, and alpha testing.

Results

Our team of health professionals, parents, adult living with DSD and PDA experts, co-designed four PDAs to support parents/guardians of infants or young children diagnosed with DSD. These PDAs addressed four priority decisions identified through our decisional needs assessment: genetic testing, gender of rearing, genital surgery and gonadal surgery. All four PDAs include information for parents about DSD, the options, reasons to choose or avoid each option, and opportunities for parents/guardians to rate the importance of features of each option to clarify their values for these features. Qualitative feedback was positive from our team and when alpha tested with an interprofessional DSD speciality team in a single center.

Conclusions

These PDAs are clinical tools designed to support parents/guardians to be involved in making informed DSD decisions; next steps are to determine parents’ decisional outcomes. While these tools are specific to DSD, the process through which they were co-designed is transferable to co-design of PDAs in other pediatric populations.
A review of the water resources of Ghana in a changing climate and anthropogenic stresses
Authors: Agodzo Sampson K. , Bessah Enoch , Nyatuame Mexoese
Published: January 2023

An extensive narrative review approach is adopted to present existing information on the consumptive and non-consumptive uses and their related issues, such as floods and droughts, climate and the environment in Ghana. Total annual rainfall in the country ranges between 800 mm/y (south-east coat) and 2,000 mm/y (south-west coast) with a bimodal and mono-modal patterns in the south and north, respectively. Annual total runoff from the 3 river systems (the Volta river system, the South-western river system and the Coastal river system) in Ghana is estimated at 40 billion m3 out of about 53 billion renewable freshwater resources. Groundwater yields ranges from 6 m3/h in the Volta basin sedimentary formations to 180 m3/h in the limestone formations. It is estimated that the total water withdrawal as a percentage of total renewable water resources is about 2%. At an average per capita consumption of water of 50 l/p/d, estimated daily water demand for the 2021 population of 31 million people stands at about 566 million m3/y. Current water supply systems are overstretched and it is further estimated that about US $ 240 million is required per year as capital expenditure in urban and rural water supply. Moreover, climate change is projected to increase the scarcity of water in future. Wastewater generated through domestic and industrial uses including storm water in urban Ghana is estimated at about 760 million m3/y. Ghana's irrigation potential to reduce climate change impact on agriculture is put at between 0.36 and 2.9 million ha, accounting for about 66.4% of the consumptive water withdrawal. Estimated water demand for cattle, sheep and goats in 2010 was put at about 22 million m3/y. Other services obtained from surface water are the provision of fish (the Volta Lake is estimated to contributes to 16% of total catch in Ghana); hydropower generation accounting for about 40% of total power installed capacity (Akosombo = 1,020 MW, Kpong = 160 MW, and Bui = 404 MW); water transportation (notably on the Volta Lake); tourist attractions [are 550 km Ghana's shoreline that has about 90 lagoons, the Volta Lake, the lower Volta (e.g., Sogakope, Ada) and some other inland waters like Lake Bosumtwi] and wetlands (recognized by RAMSAR convention of 1971) In the legal context, water governance issues are handled by various institutions created by Acts of Parliament.
People's wellbeing, civic capital and sustainable practices: Evidence from the European Values Study survey
Authors: Ciziceno Marco
Published: January 2023

The climate change issue is showing an unprecedented level of awareness in the political realm. Changing occasional sustainable practices into stable behaviors is the challenge that policymakers face. However, what makes people environmentally aware is an unsolved question, and research on this direction is in evolution. This paper examines factors that promote environmentally responsible behaviors. The study tests the hypothesis that people's wellbeing (SWB) predisposes individuals toward environmentalism. The mechanism of social and civic capital may underlie this association since people reporting higher wellbeing levels show empathy, solidarity, and greater civic engagement. This hypothesis is examined in the context of the European Union using micro-data from the European Values Study—EVS (wave 2017–2022). Results support the hypothesis that people's life satisfaction is compatible with the environmental mindset, given that those who report higher wellbeing express civicness and share pro-environmental beliefs and values. Evidence from this research suggests that supporting SWB growth may offer a fertile ground for promoting ecological awareness and developing more sustainable societies.
A system science perspective of the drivers of equatorial plasma bubbles
Authors: Klenzing Jeff , Halford Alexa J. , Liu Guiping , Smith Jonathon M. , Zhang Yongliang , Zawdie Kate , Maruyama Naomi , Pfaff Rob , Bishop Rebecca L.
Published: January 2023

The complex drivers of equatorial plasma bubbles and resulting scintillation requires a system science approach spanning the Magnetosphere-Ionosphere-Thermosphere-Mesosphere disciplines. The current roadmap missions strongly support this approach, but gaps are identified in planned observations, with potential mission and solutions proposed.
Building partnerships: A case study of physical activity researchers and practitioners collaborating to build evidence to inform the delivery of a workplace step count challenge
Authors: Niven Ailsa , Ainge James A. , Allison Mary , Gorely Trish , Kelly Paul , Ozakinci Gozde , Ryde Gemma C. , Tomaz Simone A. , Warne Samuel , Whiteford Victoria , Greenwood Carl
Published: January 2023

Background

Walking is an integral part of Scotland's National Physical Activity Strategy, and the charity Paths for All's Workplace Step Count Challenge is a flagship programme within this strategy to promote physical activity. Effectively promoting physical activity requires collaborative engagement between stakeholders. However, there is limited guidance on how to do this. The aim of this case study is to share an example of a partnership between Paths for All and researchers to inform the development and delivery of the Workplace Step Count Challenge.

Method

An overview of the partnership, example activities, reflections on opportunities and challenges, and suggestions for future partnership working are considered.

Results

The partnership has evolved and strengthened over time through building trust. Many of the research activities provide an evidence base for the intervention. This work is mutually beneficial providing support for the work of the organisation, and opportunities for researchers to undertake “real world” research, leading to formal outputs and funding. The “real world” nature is challenging to integrate the most robust research designs. Recommendations for developing future partnerships were identified.

Conclusion

Promoting physical activity effectively requires partnership working, and this paper provides insight into how such partnerships can work to inform future collaborations.
Transcriptome and metabolome profiling provide insights into hormone-mediated enhanced growth in autotetraploid seedlings of banana (Musa spp.)
Authors: Zhan Ni , Li Li , Zhang Liping , He Weidi , Yang Qiaosong , Bi Fangcheng , Deng Guiming , Kiggundu Andrew , Yi Ganjun , Sheng Ou
Published: January 2023

Introduction

Reconstructive breeding based on autotetraploids to generate triploid varieties is a promising breeding strategy in banana (Musa spp.). Therefore understanding the molecular mechanisms underlying the phenotypic differences between the original diploid and its autopolyploid derivatives is of significant importance in such breeding programs of banana.

Methods

In this study, a number of non-chimeric autotetraploid plants, confirmed by flow cytometry and chromosome counting were obtained using colchicine treatment of ‘Pisang Berlin' (AA Group), a diploid banana cultivar highly resistant to Fusarium wilt Tropical Race 4 (Foc TR4) and widely cultivated in Asia.

Results and discussion

The autotetraploids showed significant increase in plant height, pseudostem diameter, root length, leaf thickness, leaf area, and leaf chlorophyll content. Transcriptomic analysis indicated that differentially expressed genes were mainly enriched in plant hormone signal transduction, mitogen-activated protein kinase (MAPK) signaling pathway, and carbon fixation in photosynthetic organelles. The genes related to the metabolism, transport or signaling of auxin, abscisic acid (ABA), cytokinin (CTK) and gibberellin (GA), as well as the genes encoding essential enzymes in photosynthetic CO2 fixation were differentially expressed in leaves of autotetraploids and most of them were up-regulated. Metabolomic analysis revealed that the differentially accumulated metabolites were mainly involved in plant hormone signal transduction, porphyrin and chlorophyll metabolism, indole alkaloid biosynthesis, and carbon fixation in photosynthetic organelles. The results therefore, demonstrate that the hormones IAA, ABA, and photosynthetic regulation may play a vital role in the observed enhancement in the autotetraploids. These could be used as molecular and biochemical markers to facilitate the generation of triploid progenies as suitable new varieties for cultivation.
Study of the effect of pain on postoperative rehabilitation of patients with uterine malignant tumor
Authors: Lv Xiaohong , Li Chunlai , Tang Min , Yuan Dan , Zhong Yu , Xie Yubo
Published: January 2023

Objective

The relationship between acute postoperative pain (APSP) and health-related quality of life (HRQoL) in patients with uterine malignant tumor after operation was evaluated with self-rating scales, and the influencing factors of postoperative rehabilitation were screened.

Methods

A total of 102 patients undergoing elective surgery for Gynecology in the First Affiliated Hospital of Guangxi Medical University were included in this study. PCS, SAS, NRS and EQ-5D scales were evaluated 1 day before surgery, and NRS and EQ-5D scales were evaluated 1,3,7,14, and 30 days after surgery. In addition, the general and perioperative information of patients was collected from the medical record system of the hospital.

Results

From the 1st to the 30th day after operation, the NRS and EQ-5D-5L scores of patients decreased gradually, and EQ-VAS scores increased gradually. NRS score was correlated with EQ-5D score (P < 0.01). Postoperative hospital stay, Education level, PCS score and NRS score (Overall state and Active state) were the principal influencing factors of EQ-5D score (P < 0.05). Patients in the pain group had a later time to get out of bed and eat, a higher incidence of postoperative complications, and a longer postoperative hospital stay (P < 0.05). Endoscopic surgery can reduce postoperative pain and promote postoperative rehabilitation (χ2 = 37.631, P < 0.001).

Conclusions

The postoperative rehabilitation of patients in the pain group was poor. Minimally invasive surgery can reduce postoperative pain and promote postoperative rehabilitation. EQ-5D score can be used as a subjective index to evaluate postoperative rehabilitation.

Trial Registration

Chinese Clinical Trial Registry (identifier: ChiCTR2000032759).
Potential mosquito vector attraction to- and feeding preferences for pigs in Romanian backyard farms
Authors: Stelder Jonno Jorn , Mihalca Andrei Daniel , Olesen Ann Sofie , Kjær Lene Jung , Boklund Anette Ella , Rasmussen Thomas Bruun , Marinov Mihai , Alexe Vasile , Balmoş Oana Maria , Bødker René
Published: January 2023

Introduction

Mosquitoes either biologically or mechanically transmit various vector-borne pathogens affecting pigs. Mosquito species display a wide variety of host preference, as well as host attraction and behaviours. Mosquito species attraction rates to- and feeding rates on pigs or other potential hosts, as well as the seasonal abundance of the mosquito species affects their pathogen transmission potential.

Methods

We caught mosquitoes in experimental cages containing pigs situated in Romanian backyard farms. The host species of blood meals were identified with PCR and sequencing.

Results

High feeding preferences for pigs were observed in Aedes vexans (90%), Anopheles maculipennis (80%) and Culiseta annulata (72.7%). However, due to a high abundance in the traps, Culex pipiens/torrentium were responsible for 37.9% of all mosquito bites on pigs in the Romanian backyards, despite low feeding rates on pigs in the cages (18.6%). We also found that other predominantly ornithophilic mosquito species, as well as mosquitoes that are already carrying a blood meal from a different (mammalian) host, were attracted to backyard pigs or their enclosure.

Discussion

These results indicate that viraemic blood carrying, for instance, African swine fever virus, West-Nile virus or Japanese encephalitis virus could be introduced to these backyard pig farms and therefore cause an infection, either through subsequent feeding, via ingestion by the pig or by environmental contamination.
Development of a multienzyme isothermal rapid amplification and lateral flow dipstick combination assay for bovine coronavirus detection
Authors: Ji Chengyuan , Feng Yiqiu , Sun Ruini , Gu Qibing , Zhang Yao , Ma Jiale , Pan Zihao , Yao Huochun
Published: January 2023

Bovine coronavirus (BCoV) is a major cause of infectious disease in cattle, causing huge economic losses to the beef and dairy industries worldwide. BCoV can infect humans and multiple other species of animals. A rapid, reliable, and simple test is needed to detect BCoV infection in suspected farms. In this study, we developed a novel multienzyme isothermal rapid amplification (MIRA) and lateral flow dipstick (LFD) combination assay, targeting a highly conserved region of the viral nucleocapsid (N) gene for BCoV detection. The MIRA-LFD assay was highly specific and sensitive, comparable to a published reverse transcription quantitative PCR (RT-qPCR) assay for BCoV detection. Compared with the published RT-qPCR assay, the κ value of the MIRA-LFD assay in the detection of 192 cattle clinical samples was 0.982. The MIRA-LFD assay did not require sophisticated instruments and the results could be observed with eyes. Our results showed that the MIRA-LFD assay was a useful diagnostic tool for rapid on-site detection of BCoV.
In-depth genetic characterization of the SARS-CoV-2 pandemic in a two-year frame in North Macedonia using second and third generation sequencing technologies
Authors: Vukovikj Maja , Boshevska Golubinka , Janchevska Elizabeta , Buzharova Teodora , Preshova Ardian , Simova Milica , Peshnacka Aneta , Kocinski Dragan , Kuzmanovska Gordana , Memeti Shaban , Gjorgoski Icko
Published: January 2023

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a persistent negative impact on both the public health and the global economy. To comprehend the origin, transmission routes and discover the mutations that alter the virus’s transmissibility and pathogenicity, full-length SARS-CoV-2 genomes have to be molecularly characterized. Focusing on a two-year time frame (2020-2021), we provide an in-depth virologic and epidemiological overview of the SARS-CoV-2 pandemic in the Republic of North Macedonia by assessing the frequency and distribution of the circulating SARS-CoV-2 variants. Using genetic characterization and phylogenetic analysis we shed light on the molecular evolution of the virus as well as test for a possible connection between specific SARS-CoV-2 haplotypes and the severity of the clinical symptoms. Our results show that one fifth (21.51%) of the tested respiratory samples for SARS-CoV-2 were positive. A noticeable trend in the incidence and severity of the COVID-19 infections was observed in the 60+ age group between males and females. Of the total number of positive cases, the highest incidence of SARS-CoV-2 was noticed in 60+ males (4,170.4/100,000), with a statistically significant (0,0001) difference between the two sexes. Additionally, a 1.8x increase in male mortality and consequentially significantly higher number of death cases was observed compared to females of the same age group (0.001). A total of 327 samples were sequenced in the period March 2020 - August 2021, showing the temporal distribution of SARS-CoV-2 variants circulating in North Macedonia. The phylogenetic analysis showed that most of the viral genomes were closely related and clustered in four distinctive lineages, B.1, B.1.1.7, B.1.351 and B.1.617.2. A statistically significant difference was observed in the 2C_1 haplotype (p=0.0013), where 10.5% of the patients were hospitalized due to severe clinical condition. By employing genetic sequencing, coupled with epidemiological investigations, we investigated viral distribution patterns, identified emerging variants and detected vaccine breakthrough infections. The present work is the first molecular study giving a comprehensive overview of the genetic landscape of circulating SARS-CoV-2 viruses in North Macedonia in a period of two years.
Aerodynamic Intelligent Topology Design (AITD)-A Future Technology for Exploring the New Concept Configuration of Aircraft
Authors: Liao Peng , Song Wei , Du Peng , Feng Feng , Zhang Yudong
Published: January 2023

With the increasing requirements for aerodynamic performance, aerodynamic configuration design of aircraft based on traditional design experience has gradually failed to meet the needs of the future. Therefore, the new concept aerodynamic shape design will be the development trend for future aircraft, but the current new concept aerodynamic shape design is still based on the designer’s understanding of the existing flow physics. One novel technology that can be useful is topology design. Compared with traditional design, topology design not only has more undetermined parameters, but also its topology variables have a greater impact on the design goals. In this perspective, we propose the concept of Artificial Intelligent Topology Design (AITD) for aerodynamic configuration design based on topology design and artificial intelligence technology and discuss its potential in the application of the new concept of aerodynamic configuration design.
Comparison of Productivity and Agro-Biological Traits of Alfalfa Populations Resistant to Mobile Al Grown on Acidic and Neutral Soils
Authors: Skuodienė Regina , Liatukienė Aurelija , Petrauskas Giedrius
Published: January 2023

To evaluate the agro-biological traits and select the promising populations of alfalfa under pedoclimatic conditions, field experiments were carried out in two locations of the Lithuanian Research Centre for Agriculture and Forestry (western Lithuania 55°70′ N, 21°49′ E and central Lithuania 55°23′ N, 23°51′ E). Eleven populations were established in acidic soil with a pH of 4.0 (experimental site I) and neutral soil with a pH of 7.0 (experimental site II). The productivity and agro-biological traits: fresh matter yield, dry matter yield, seed yield, stem thickness, and stem, leaf, and inflorescence weight of alfalfa populations were evaluated from 2019 to 2021. In the acidic soil, the populations 3056, 3132, 3130, and 3058 yielded more fresh and dry matter compared to the standard cultivar Birutė in the period from 2019 to 2021. In the acidic soil, populations 3131 and 3057 had a higher seed yield compared to the cultivar Birutė in 2019 and 2020, respectively. The 3086 population significantly differed in leaf weight compared to the cultivar Birutė. The cultivar Birutė and population 3132 were similar in stem thickness and fresh matter yield. In the neutral soil, population 3056 yielded more fresh matter compared to the cultivar Birutė.
A Critical Review of Climate Change Impact at a Global Scale on Cereal Crop Production
Authors: Farooq Ahsan , Farooq Nageen , Akbar Haseeb , Hassan Zia Ul , Gheewala Shabbir H.
Published: January 2023

Food security can be under threat due to climate change, which has the potential to alter crop yield. Wheat, maize, and rice are major crops contributing to global food security. The impact of climate change on crop yield with different models and techniques has been projected; this article reviewed the worldwide impact of climate change on future wheat, rice, and maize production. Wheat and maize crop yields may increase due to climate change in colder regions and may decrease in the countries near the equator. The increase in carbon dioxide concentration in the atmosphere may help wheat and maize crops regarding increased carbon intake in colder regions. The rice crop yield may decrease in almost all major rice-producing countries due to water scarcity, which can be amplified due to climate change. The impact of climate change on crop yield prediction involves uncertainties due to different crop models, global circulation models, and bias correction techniques. It is recommended to use multiple climatic models and more than one bias correction technique for better climatic projections. Adaptation measures could help to reduce the adverse impacts of future climate on agriculture. Shifting the planting calendar, irrigation and nutrient management, improving crop varieties, and expanding the agricultural areas are suggested as the most effective adaptation actions in response to climate change. The findings of this study may help policymakers to achieve Sustainable Development Goal (SDG) 2 (Zero Hunger) and SDG 13 (Climate Action).
Assessment of Soil Suitability Using Machine Learning in Arid and Semi-Arid Regions
Authors: Ismaili Maryem , Krimissa Samira , Namous Mustapha , Htitiou Abdelaziz , Abdelrahman Kamal , Fnais Mohammed S. , Lhissou Rachid , Eloudi Hasna , Faouzi Elhousna , Benabdelouahab Tarik
Published: January 2023

Increasing agricultural production is a major concern that aims to increase income, reduce hunger, and improve other measures of well-being. Recently, the prediction of soil-suitability has become a primary topic of rising concern among academics, policymakers, and socio-economic analysts to assess dynamics of the agricultural production. This work aims to use physico-chemical and remotely sensed phenological parameters to produce soil-suitability maps (SSM) based on Machine Learning (ML) Algorithms in a semi-arid and arid region. Towards this goal an inventory of 238 suitability points has been carried out in addition to14 physico-chemical and 4 phenological parameters that have been used as inputs of machine-learning approaches which are five MLA prediction, namely RF, XgbTree, ANN, KNN and SVM. The results showed that phenological parameters were found to be the most influential in soil-suitability prediction. The validation of the Receiver Operating Characteristics (ROC) curve approach indicates an area under the curve and an AUC of more than 0.82 for all models. The best results were obtained using the XgbTree with an AUC = 0.97 in comparison to other MLA. Our findings demonstrate an excellent ability for ML models to predict the soil-suitability using physico-chemical and phenological parameters. The approach developed to map the soil-suitability is a valuable tool for sustainable agricultural development, and it can play an effective role in ensuring food security and conducting a land agriculture assessment.
Establishing Breeding Priorities for Developing Biofortified High-Yielding Pearl Millet (Pennisetum glaucum (L.) R. Br.) Varieties and Hybrids in Dosso Region of Niger
Authors: Gaoh Bassirou Sani Boubacar , Gangashetty Prakash I , Mohammed Riyazaddin , Govindaraj Mahalingam , Dzidzienyo Daniel Kwadjo , Tongoona Pangirayi
Published: January 2023

West Africa is the origin and epicenter of pearl millet genetic diversity. Niger is a standalone country that produces 3.5 million tons of pearl millet from an area of 6.7 million hectares, with productivity varying from 0.5 to 0.7 t/ha. Low grain yield is a result of low soil fertility, drought, downy mildew, head miner, and the non-utilization of improved and quality seeds. Around 30 pearl millet varieties were released in Niger, but the adoption rate of improved varieties is still lagging. There has been no systematic mapping implemented for new varieties’ adoption preferences and the availability of quality seeds. Considering this and assessing the need for biofortified cultivars, the present participatory study was conducted in the Dosso region of Niger, wherein high rates of malnutrition persist. This study aimed (i) to identify breeding priorities for key traits of pearl millet preferred by farmers, with gender-based segregation, for varieties and hybrids, and (ii) to survey the preference for biofortified varieties with added nutritional value. Structured questionnaires and focus groups were used to collect data from 150 randomly selected respondents in 12 villages from three representative departments of Dogondoutchi, Dosso, and Gaya. The results reveal that pearl millet is a primary staple crop grown (98% of respondents) and consumed on a daily basis as food and also used as feed for their animals. The majority of farmers preferred a long panicle (50.7%) and a good seed set (45.3%). For grain traits, a white color (50%) and larger size (100%) were predominantly preferred, which fetches them higher prices in the market, where they compete with sorghum grains. All respondents unanimously rated growing biofortified pearl millet varieties as high (100%), owing to higher Fe and Zn, in addition to yield. Furthermore, 99.3% of farmers perform grain decortication before consumption, thus potentially depleting staple grain nutrition, which is expedient for pearl millet biofortification in the region. This study has the potential for establishing pearl millet breeding priorities that are likely to be employed for other West African pearl millet breeding programs.
Development and Validation of a Simple HPLC-UV Assay Method for Determination of Levetiracetam Concentrations in Human Plasma
Authors: Kharouba Maged , Mahmoud Sherif Hanafy
Published: January 2023

Levetiracetam (LEV) is a broad spectrum antiseizure medication that is used in various seizure types. There is evidence that therapeutic drug monitoring (TDM) of LEV is of value in selected patient populations, therefore determination of LEV plasma concentrations is essential. Herein we developed and validated a simple, reproducible, and practical method for the quantification of LEV concentrations in human plasma samples using high performance liquid chromatography (HPLC). Plasma samples (0.3 mL) deproteinization was done using acetonitrile. HPLC chromatographic separation of plasma samples was accomplished by reversed phase C18 column. The mobile phase constituted water and acetonitrile (90:10, v/v) ran at flow rate of 1 mL/min. Signal acquisition was conducted at a wavelength of 192 nm. Calibration curves showed excellent linearity (Correlation coefficient r2 > 0.99) over a concentration range of 3–80 μg/mL. Both inter and intraday assay accuracy and precision were less than 8% (except for the lowest limit of quantification was within 20%). Elution time was 15 min. The developed method excluded the use of buffers and utilized small volumes of plasma samples with simple mobile phase composition. Therefore, our method could be practically applied to routine TDM.
New Year Special Issue, Animals in 2023
Authors: Phillips Clive J. C.
Published: January 2023

The management of animals on our planet is being scrutinised as never before [...]
A Retrospective Study of Laparoscopic Cryptorchidectomy in 19 Cats with Intra-Abdominal Testes
Authors: Villalobos-Gomez Jesús , Del-Angel-Caraza Javier , Tapia-Araya Angelo , Brandao Fausto , Hernández-López Carlos Andrés , Martínez-Gomariz Franscisco , Botero-Crespo Carlos Eduardo , Properzi Roberto
Published: January 2023

Cryptorchidism is heritable in cats, and due to the pathological risk of testicular torsion, and the development of testicular neoplasia, cryptorchidectomy is the treatment of choice. For the intra-abdominal testes, a laparotomic approach is generally recommended; however, laparoscopic cryptorchidectomy in cats has been documented in a few clinical case reports. The aim of the study was to report the short-term clinical outcomes for 19 cryptorchid cats with intra-abdominal testes that underwent cryptorchidectomy with laparoscopic techniques. Medical records of client-owned sexually intact male cats that underwent laparoscopic cryptorchidectomy in different veterinary hospitals or ambulatory surgical services were reviewed. The procedure was performed in 19 cats. The average time (mean ± standard deviation, SD) for all procedures was 23 ± 6 min (range 15–35 min). The time for laparoscopic removal of a single abdominal testis was 22 ± 6 min, with 30 min for the bilateral abdominal testes. The time until hospital discharge varied depending on the surgeon’s criteria, with a mean of 6 h (range 3–24 hrs). None of the cases analyzed showed any surgical complications. The results of this study suggest that laparoscopic cryptorchidectomy is an appropriate surgical procedure to treat cryptorchid cats with intra-abdominal testes, all with benefits of minimal invasion surgery.
Efficient Development of Gait Classification Models for Five-Gaited Horses Based on Mobile Phone Sensors
Authors: Davíðsson Haraldur B. , Rees Torben , Ólafsdóttir Marta Rut , Einarsson Hafsteinn
Published: January 2023

Automated gait classification has traditionally been studied using horse-mounted sensors. However, smartphone-based sensors are more accessible, but the performance of gait classification models using data from such sensors has not been widely known or accessible. In this study, we performed horse gait classification using deep learning models and data from mobile phone sensors located in the rider’s pocket. We gathered data from 17 horses and 14 riders. The data were gathered simultaneously from movement sensors in a mobile phone located in the rider’s pocket and a gait classification system based on four wearable sensors attached to the horse’s limbs. With this efficient approach to acquire labelled data, we trained a Bi-LSTM model for gait classification. The only input to the model was a 50 Hz signal from the phone’s accelerometer and gyroscope that was rotated to the horse’s frame of reference. We demonstrate that sensor data from mobile phones can be used to classify the five gaits of the Icelandic horse with up to 94.4% accuracy. The result suggests that horse riding activities can be studied at a large scale using mobile phones to gather data on gaits. While our study showed that mobile phone sensors could be effective for gait classification, there are still some limitations that need to be addressed in future research. For example, further studies could explore the effects of different riding styles or equipment on gait classification accuracy or investigate ways to minimize the influence of factors such as phone placement. By addressing these questions, we can continue to improve our understanding of horse gait and its role in horse riding activities.
Comparison and Phylogenetic Analysis of Mitochondrial Genomes of Talpidae Animals
Authors: Xu Di , Sun Mengyao , Gao Zenghao , Zhou Yiping , Wang Qingqian , Chen Lei
Published: January 2023

Talpidae is a model group for evolutionary studies due to their highly specialized morphologies and diverse lifestyles. Mitochondrial genomes are molecular markers commonly used in species evolution and phylogenetic studies. In this study, the complete mitochondrial genome sequence of Scaptochirus moschatus was obtained by Illumina NovaSeq sequencing. The complete mitochondrial genomes of 14 Talpidae species (including Scaptochirus moschatus obtained in the present study) and the cytochrome b (Cyt b) gene sequences of 48 Talpidae species were downloaded from the NCBI database for comparison and phylogenetic studies to analyze the phylogenetic relationships and to find the possible reasons of the niche differentiation and ecotype specialization of Talpidae animals. The results showed that the mitochondrial genome sequences of 14 species belonging to the family Talpidae were 16,528 to 16,962 bp, all containing 13 protein-coding genes, 22 tRNA, two rRNA, and a non-coding region (control region). The difference in the number of repetitive repeats in the control region is responsible for the difference in the length of Talpidae mitochondrial genome sequences. Combining the divergence time of Talpidae animals with the geological history, it is found that the niche differentiation and ecotype divergence of Talpidae is closely related to historically global climate changes. Semi-aquatic groups diverged in the early Oligocene (about 31.22 MYA), probably in response to the global climate transition from warm to cool. During the early Miocene (about 19.54 MYA), some species of Talpidae moved to underground habitats and formed fossorial groups that were adept at digging due to the effects of the glaciation. In the middle Miocene (about 16.23 MYA), some Talpidae animals returned to the ground and formed semi-fossorial shrew moles as global climate warming again.