bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conceptions et pratiques de gestion de la santé des animaux en productions animales sous cahier des charges de l'agriculture biologiquebiologiques
Authors: BAREILLE Nathalie , DUVAL Julie , EXPERTON Catherine , FERCHAUD Stéphane , HELLEC Florence , MANOLI Claire 
Published: March 2023

Afin de contribuer au développement continu de l’Agriculture Biologique (AB) en France, cet article apporte des éléments de compréhension de son cadre réglementaire et de ses particularités. Tout d’abord, l’analyse sociotechnique montre que les conceptions de la santé animale, portées par les éleveurs et les accompagnants techniques spécialisés, sont basés sur une approche préventive et holistique de la santé animale, selon laquelle la gestion de la santé passe avant tout par des leviers liés à la conduite du système d’élevage. Les éleveurs s’entourent d’une diversité d’acteurs pour les accompagner dans cette gestion globale de la santé, qui dépasse le conseil classique du vétérinaire. Ensuite, une autre particularité de la santé en élevage AB traitée ici est relative au statut épidémiologique des élevages : même si une forte variabilité existe entre élevages et pays, l’état sanitaire des troupeaux est en moyenne meilleur en AB qu’en agriculture conventionnelle. Enfin, un focus zootechnique est réalisé sur certaines pratiques d’élevage imposées ou recommandées par le cahier des charges pour des raisons de préservation de la santé ou de la biodiversité. Ces pratiques ont été largement adoptées par les éleveurs en AB et ont eu des impacts positifs sur la préservation de la santé des animaux. Ces particularités ont été traitées dans la littérature de façon inégale selon les filières. Des développements plus importants sont donc faits dans cette synthèse sur les espèces de Ruminants, et des apports plus ponctuels sur les productions porcines et avicoles.
Perioperative Essential Amino Acid Supplementation Facilitates Quadriceps Muscle Strength and Volume Recovery After TKA
Authors: Ueyama Hideki , Kanemoto Narihiro , Minoda Yukihide , Taniguchi Yoshiki , Nakamura Hiroaki 
Published: March 2023

Background:
Perioperative essential amino acid (EAA) supplementation suppresses lower-limb muscle atrophy and promotes functional improvement in the first 4 weeks after total knee arthroplasty (TKA). However, its effect on the recovery of muscle volume and strength in the intermediate term is unclear. The aim of this study was to evaluate the effect of perioperative EAA supplementation on the recovery of lower-limb muscle volume and strength in the 2 years after TKA.

Methods:
Sixty patients who underwent unilateral TKA for primary knee osteoarthritis were included in this double-blinded randomized controlled trial. After excluding dropouts, 26 patients assigned to the EAA group (9 g/day) and 26 assigned to the placebo group (powdered lactose, 9 g/day) were available for analysis. Patients received EAA supplementation or a placebo from 1 week prior to surgery to 2 weeks after it. The rectus femoris muscle area was measured using ultrasonography and quadriceps muscle strength was measured isometrically with a handheld dynamometer, preoperatively and periodically up to 2 years postoperatively. Knee pain, knee range of motion, functional mobility, and Knee Society Score 2011 subjective scores were measured at each time point. Perioperative management, except for supplementation, was identical in the 2 groups.

Results:
Taking the baseline as 100%, the mean values in the EAA and placebo groups were 134% ± 31% and 114% ± 27%, respectively, for the rectus femoris muscle area and 159% ± 54% and 125% ± 40% for the quadriceps muscle strength, respectively, at 2 years after surgery. The differences were significant (p < 0.05). Clinical outcomes were not significantly different between the 2 groups.

Conclusions:
Perioperative EAA supplementation contributes to the recovery of rectus femoris muscle volume and quadriceps muscle strength in the 2 years after TKA. The EAA supplementation did not impact clinical outcomes.

Level of Evidence:
Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.
Topological Structures on Vertex Set of Digraphs
Authors: Lalithambigai K. , Gnanachandra P. 
Published: March 2023

Relation on a set is a simple mathematical model to which many real-life data can be connected. A binary relation on a set can always be represented by a digraph. Topology on a set can be generated by binary relations on the set . In this direction, the study will consider different classical categories of topological spaces whose topology is defined by the binary relations adjacency and reachability on the vertex set of a directed graph. This paper analyses some properties of these topologies and studies the properties of closure and interior of the vertex set of subgraphs of a digraph. Further, some applications of topology generated by digraphs in the study of biological systems are cited.
Design of Stacked Multilayer Aperture Coupled Millimeter-wave Circular Array Antenna for 5G Femtobase stations
Authors: V Harini , S Sairam M V , R Madhu 
Published: March 2023

Abstract
In this paper, a design of a stacked multilayer aperture coupled millimeter-wave circular array antenna is proposed for 5G Femto base stations. As these base stations include miniature antennas where compact microstrip antennas with good impedance matching, high gain, and efficiency along with the reduction in sidelobe level which is the major advantage with aperture coupled feed mechanism. This array antenna exhibits low return loss at multiple frequency bands like 28GHz and 38GHz with reflection coefficient values like -18.74dB and -10.6dB including almost 100% radiation efficiency and attained maximum gain values like 11.93dBi and 10.44dBi. The proposed antenna achieves a sidelobe level value of 14dB at 28GHz in E-plane with wide beam widths of 80 0 and 85 0 at 28GHz and 38GHz respectively. There is a good agreement between simulated and measured results for the proposed aperture coupled millimeter-wave circular array antenna
An Intelligent Node Localization Algorithm for Heterogeneous Wireless Sensor Network Based Object Detection and Tracking System
Authors: Dev Jayashree , Mishra Jibitesh 
Published: March 2023

Abstract

Node localization is the process of determining the location of sensor nodes in the area of operation. To determine the location of the moving object in a heterogeneous wireless sensor network accurately, it is important to know the location of sensor nodes that sense the presence of the object in their vicinity area. Sensor nodes equipped with GPS facility can know their exact location with reference to some point in space. But this makes the network system expensive. So, alternate method of determination of exact location of the nodes are always inevitable. But unfortunately, no such error free method is proposed till date. Hence, it is an open research problem for the researchers. In this paper, we propose an intelligent algorithm based on swarm intelligence for node localization problem. The proposed algorithm is a hybrid swarm intelligence algorithm in which the location estimation error resulted in DV-Hop algorithm is corrected using hybrid Particle Swarm Optimization (PSO)-Grey Wolf Optimization (GWO) algorithm with Poor-for-Change strategy. The performance of the algorithm is evaluated and compared with existing DV-Hop using PSO and GWO based node localization algorithm. It is found that the object localization error is less in case of proposed model in comparison to the above said models.
Neutralization of IFNγ improves the safety profile of CAR T-cells while maintaining unaffected efficacy against B-cell malignancies
Authors: Manni Simona , Bufalo Francesca Del , Merli Pietro , Silvestris Domenico Alessandro , Guercio Marika , Caruso Simona , Reddel Sofia , Iaffaldano Laura , Pezzella Michele , Cecca Stefano Di , Sinibaldi Matilde , Ottaviani Alessio , Quadraccia Maria Cecilia , Aurigemma Mariasole , Sarcinelli Andrea , Ciccone Roselia , Abbaszadeh Zeinab , Ceccarelli Manuela , De Vito Rita , Lodi Maria Chiara , Cefalo Maria Giuseppina , Mastronuzzi Angela , De Angelis Biagio , Locatelli Franco , Quintarelli Concetta 
Published: March 2023

Abstract
Chimeric antigen receptor (CAR) T-cell therapy represents a revolutionary approach to induce long-lasting remission in patients with B-cell malignancies not responding to conventional therapies. Nevertheless, possible severe side effects, including cytokine release syndrome (CRS), neurotoxicity and macrophage activation syndrome, whose management is still challenging, as well as lack of pathophysiological experimental models to investigate novel interventions, limit the widespread use of this therapy. In light of these considerations, we developed a comprehensive humanized mouse model to investigate the role of IFNγ neutralization, provided by the clinically approved monoclonal antibody, emapalumab, in controlling severe toxicity related to CAR T cells. We demonstrated that emapalumab reduces the pro-inflammatory environment in the animal model, allowing severe CRS control and preventing brain damage, characterized by multifocal hemorrhages. Furthermore, we proved that IFNγ inhibition does not affect the ability of CAR.CD19 T cells to eradicate CD19+ lymphoma cells, both in vitro and in vivo.
Feasibility and acceptability of ‘Low Intensity mental health Support via a Telehealth Enabled Network’ for adults with type 1 and type 2 diabetes: the LISTEN pilot study
Authors: Holloway Edith , Gray Shikha , Halliday Jennifer , Hines Carolyn , Skinner Timothy C , Speight Jane , Hendrieckx Christel 
Published: March 2023

Abstract
Background
This study examined the feasibility and acceptability of the Low Intensity mental health Support via Telehealth Enabled Network (LISTEN) intervention, for adults with diabetes, facilitated by diabetes health professionals (HPs).
Methods
LISTEN training. Three HPs participated in three half-day online workshops, and applied their learnings during training cases (maximum four). Competency was assessed with a validated tool and achieving ‘satisfactory’ ratings for three consecutive sessions. LISTEN pilot. A single-group, pre-post study (up to four LISTEN sessions) with online assessments at baseline, post-intervention, and 4-week follow-up. Eligible participants were adults with type 1 or type 2 diabetes, with diabetes distress, but excluded if they had moderate/severe depressive and/or anxiety symptoms. Feasibility was assessed via recruitment and session completion rates. Acceptability was assessed with post-intervention self-report data. Changes in diabetes distress and general emotional well-being from baseline (T1) were explored at post-intervention (T2) and at 4-week follow-up (T3).
Results
Two HPs achieved competency (median training case sessions required: 7) and progressed to deliver LISTEN in the pilot study. In the pilot, N = 16 adults (Med[IQR] age: 60 [37–73] years; 13 women) with diabetes participated (median sessions per participant: 2). Twelve participants (75%) completed the post-intervention assessment (T2): 92% endorsed the number of sessions offered as ‘just right’, 75% felt comfortable talking with the HP, and 67% were satisfied with LISTEN. Perceived limitations were the structured format and narrow scope of problems addressed. Diabetes distress scores were lower post-intervention.
Conclusions
This pilot demonstrates the feasibility of training HPs to deliver LISTEN; and the acceptability and potential benefits of LISTEN for adults with diabetes. The findings highlight adaptations that may enhance delivery of, and satisfaction with, LISTEN that will be tested in a hybrid type 1 effectiveness-implementation trial.
Deep electron cloud-activity and field-activity relationships
Authors: Xu Lu , Yang Qin 
Published: March 2023

Abstract
Chemists have been pursuing the general mathematical laws to explain and predict
molecular properties for a long time. However, most of the traditional quantitative
structure-activity relationship (QSAR) models have limited application domains, e.g.,
they tend to have poor generalization performance when applied to molecules with
parent structures different from those of the trained molecules. This paper attempts to
develop a new QSAR method that could theoretically predict various properties of
molecules with diverse structures. The proposed deep electron cloud-activity
relationships (DECAR) and deep field-activity relationships (DFAR) methods consist
of three essentials: (1) A large number of molecule entities with activity data as
training objects and responses; (2) three-dimensional electron cloud density (ECD) or
related field data by the accurate density functional theory methods as input
descriptors; (3) a deep learning model that is sufficiently flexible and powerful to
learn the large data described above. DECAR and DFAR are used to distinguish 977
sweet and 1965 non-sweet molecules (with 6-fold data augmentation) and the
classification performance is demonstrated to be significantly better than the
traditional least squares support vector machine (LS-SVM) models using traditional
descriptors. DECAR and DFAR would provide a feasible and promising way to
establish a widely applicable, cumulative, and shareable artificial intelligence-driven
QSAR system. They will promote the development of an interactive platform to
collect and share the accurate ECD and field data of millions of molecules with
annotated activities. With enough input data, we envision the appearance of hundreds
of deep networks trained for various molecular activities. Finally, we could anticipate
a single DECAR or DFAR network to learn and infer various properties of interest for
chemical molecules, which will become an open and shared learning and inference
tool for chemists.
The use of digital technologies in the promotion of health literacy and the empowerment of the Informal Caregiver: a scoping review
Authors: Soares Suzete , Hoffmeister Louíse Viecili , Fernandes Maria de Fátima , Henriques Adriana , Câmara Gisele , Costa Andreia Silva da 
Published: March 2023

Abstract

Background: Informal Caregivers (ICs) play an important role in the community as healthcare providers to people who are dependent. Health literacy contributes to empowering care and self-management of one’s own health and can be enhanced by using digital technologies.
Aim: To map scientific evidence about the use of digital technologies to promote health literacy and the empower the IC.
Method: A scoping review was made using the Joanna Briggs Institute (JBI) methodology. CINALH, MEDLINE, SCOPUS e PUBMED were the databases used to search for the keywords informal caregivers, family caregiver, health literacy, empower, digital technology, and community. Inclusion criteria were made using the Population, Concept, and Context mnemonic and used as a record screening strategy. Paper relevance analysis was made by two independent reviewers, and the results were analysed according to their content.
Results: Nine studies were included, which verified that ICs used digital tools, such as computers and smartphones, with smartphones being the preferred tool. ICs use the Internet to access information, social and economic materials, home management tasks and communication with relatives, with their peers, healthcare professionals, and forums. Due to difficulties in leaving the house, forums are highly valued because this way ICs are still able to preserve human connections. There are factors that facilitate or complicate the use of digital tools by the ICs, and such information can be used to improve their user experience.
Conclusion: The use of digital technologies to convey clear, objective, reliable, and accessible information is a strategic action for promoting health literacy and for contemplating the variable care needs of ICs. By working with ICs in the development of new technologies, researchers are building a new tool that meets ICs’ needs.
The Impact of Change in Spousal Status on Frailty Among Middle-Aged and Older Adults in South Korea
Authors: Park Yu shin , Kim Soo Young , Joo Hye Jin , Jang Sung In , Park Eun-Cheol 
Published: March 2023

Abstract

Background
This study aimed to examine the impact of marital transitions on the incidence of frailty among older adults in South Korea.
Methods
Data for this longitudinal study were extracted from the first to seventh wave (2006–2018) of the Korean Longitudinal Study of Aging, which included 5,133 participants. Frailty was assessed using the Frailty Instrument scale. Marital transition was categorized into four groups (spouse to spouse [SS], spouse to no spouse [SN], no spouse to spouse [NS] and no spouse to no spouse [NN]). Transitions in marital status and their relationship with frailty were investigated using lagged generalized estimation equations.
Results
The SN group (OR 1.65 CI 1.26 − 2.15) and NN groups (OR 1.64 CI 1.40 − 1.93) had increased likelihood of frailty than the SS group. Furthermore, males in the NN group (OR 2.10 CI 1.53 − 2.88) had the highest odds of frailty among all groups, whereas females in the SN group (OR 1.58 CI 1.17 − 2.14) had higher odds of frailty than those in other groups.
Conclusion
Spousal status may affect frailty among middle-aged and older adults in South Korea. The likelihood of frailty increased for those who lived alone or had been divorced or widowed. Single/unmarried men had a higher likelihood of frailty than widowed or divorced men, while widowed or divorced women had a higher likelihood of frailty than unmarried women.Spousal status is a potential factor that influences frailty, which can be affected differently by sex.
Grow Newtonian rigid inertia into parameter repetitiveness memory equivalent bio-inertia by degenerating eigenstates on a surface tension region to define quantum growth gravity for turnover selection immunity
Authors: Lai Yi Yu 
Published: March 2023

Abstract
Note: Please see pdf for full abstract with equations.
Inversion energy is parameter-against-gravity-internal-fluctuations, the non-simultaneousness tension among turnover fluctuations is quantizing time. Modified Newtonian Laws, first: 𝑑/𝑑𝑥 cosx =−𝑠𝑖𝑛𝑥, 𝑑/𝑑𝑥 sinx = 𝑐𝑜𝑠𝑥; second: 𝐹⃗=𝑚∙𝑎⃗+|𝑚𝑔⃗∫𝑡𝑔𝜃⋅𝑑𝜃 ⟩↿⇂ third: Wavelength =2/𝑛 L, frequency = n𝑓0. Bio-systems are topological spaces that can process inputs into inversion energy for repetitiveness memory entropy controlling, the capability of equivalent procured inversion energy with memorized trigonometric repetitiveness is bio-inertia. Schrödinger equation has only quantized energy thus inducing quantum collapse, we then utilize equation 𝑯̂𝜓=𝑬𝜓 + Σn|cos(1/𝑛 𝑥)⟩ to degenerate eigenstates on certain surface tension regions to define G shifting quantum growth gravity for lifespan. Originating from quantum gravitational turnover (resistance) tension between Planck regions and surface tension regions, bio quantum grows in vivo cross folded-surface tension region flow. Life relies on trigonometric negentropy procured from elastic entropy generation ground condensates and physically inherit by quantum growth turnover immunity that regenerates by sexual yolk sac (or asexual nucleus) homing. Long COVID niches grow from the NAbs turnover tension is also unveiled.
Financial Inclusion and Carbon Emissions in Asia: Implications for Environmental Sustainability
Authors: Hussain Shahzad , Ahmad Tanveer , Ullah Sabeeh , Rehman Ajid Ur , Shahzad Syed Jawad Hussain 
Published: March 2023

Abstract
This study explores how carbon emission is affected by financial inclusion. Using a balanced panel data set of 26 Asian countries, we compute a composite index, through principal component analysis (PCA) technique, of financial inclusion based on a set of attributes related to financial inclusion. Our main analysis also delineates to subsample of developed and developing Asian economies. Our findings reveal a long (short)-run positive (negative) impact of financial inclusion on carbon emission across the Asian countries. This finding is also true for developed countries sub-sample implying a non-linearity in short- and long-run relationship. For the developing countries, a more pronounced long-run positive impact compared to developed countries is found. Furthermore, pairwise causality test results indicate a bi-directional causality between financial inclusion and carbon emission. These findings posit important policy implications, especially in the context of strategic integration of financial inclusion and climate change strategies.
Keystone species determine the productivity of synthetic microbial biofilm communities
Authors: Xu Zhihui , Sun Xinli , Xie Jiyu , Zheng Daoyue , Xia Riyan , Wang Wei , Xun Weibing , Huang Qiwei , Zhang Ruifu , Kovács Ákos T , Shen Qirong 
Published: March 2023

Abstract
Microbes typically reside in multi-species communities, whose interactions have considerable impacts on the robustness and functionality of such communities. To manage microbial communities, it is essential to understand the factors driving their assemblage and maintenance. Even though the community composition could be easily assessed, interspecies interactions during community establishment remain poorly understood. Here, we combined co-occurrence network analysis with quantitative PCR to examine the importance of each species within synthetic communities (SynComs) of pellicle biofilms. Genome-scale metabolic models and in vitro experiments indicated that the biomass of SynComs was primarily affected by keystone species that are acting either as metabolic facilitators or as competitors. Our study sets an example of how to construct a model SynCom and investigate interspecies interactions.
Infant acute lymphoblastic leukemia (MLL-AF) presenting as leukemia cutis with an isolated scalp nodule – A case report.
Authors: Pellegrino Francesco , Coppo Paola , Barisone Elena , Bertorello Nicoletta , Spadea Manuela , Fagioli Franca 
Published: March 2023

Abstract
Background

Infant leukemia is a rare form of acute leukemia diagnosed prior to 1 year of age with an extremely poor prognosis, due to its poor response to current therapies. It comprises about 4% of childhood acute lymphoblastic leukemia (ALL). Isolated initial cutaneous involvement in ALL is very uncommon, and even more in infant ALL.

Case Presentation

Here we present a case of 2-month-old infant, presenting only nodular skin infiltrates on the scalp with the diagnosis of infant acute lymphoblastic leukemia (ALL), characterized by the immunophenotype of the most immature B-cell precursors (pro-B ALL) and chromosomal translocation t (9;11), associated with the rearrangement of KMTLA2 and AF9 genes, that is a negative prognostic factor. She underwent hematopoietic stem cell transplantation (HSCT) and she is still in remission

Conclusions

This represents a peculiar case because isolated initial cutaneous involvement in ALL is rare. In fact, most reports of ALL leukemia cutis in literature are single cases. The novel treatment strategies, obtained from recent discoveries regarding the peculiar biology of these leukemias, are increasingly being incorporated into clinical trials and have the potential to improve the prognosis.