Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Denosumab on the Change of Osteoclast Precursors Compared to Zoledronate Treatment in Postmenopausal Women with Osteoporosis

Background A rapid increase in bone turnover and bone loss has been observed in response to the discontinuation of denosumab. It led to an acute increase in the fracture risk, similar to that observed in the untreated patients. We aimed to investigate the effect of denosumab on osteoclast (OC) precursor cells compared to that of zoledronate. Methods The study compared the effects of denosumab (60 mg/24-week) and zoledronate (5 mg/48-week) over 48 weeks in postmenopausal women with osteoporosis. From patients’ peripheral mononuclear cells, CD14+/CD11b+/vitronectin receptor (VNR)- and CD14+/CD11b+/VNR+ cells were isolated using fluorescent-activated cell sorting, representing early and late OC precursors, respectively. The primary endpoint was the changes in OC precursors after 48 weeks of treatment. Results Among the 23 patients, 11 were assigned to the denosumab group and 12 to the zoledronate group (mean age, 69 years). After 48 weeks, the changes in OC precursors were similar between and within the groups. Serum C-terminal telopeptide of type I collagen levels were inversely correlated with OC precursor levels after denosumab treatment (r=−0.72, P<0.001). Lumbar spine, femur neck, and total hip bone mineral density (BMD) increased in both groups. Lumbar spine BMD increased more significantly in the denosumab group than in the zoledronate group. Conclusions Denosumab and zoledronate treatments induced similar changes in OC precursors. During denosumab treatment, old age and suppressed bone turnover were associated with increased OC precursor cell populations. Further validation studies with prospective designs are required.
Practical Polyline Matching for GPS Data

Partial route matching is the problem of comparing two routes — polylines consisting of sequential geographical coordinates — and matching them based on their proximity to each other. Even if a perfect matching is not found then the parts of the routes that do match must be identified as such. The proposed algorithm rasterizes the routes into two sequences of grid fields. These can then be treated like strings of characters and are matched using an approximate string matching algorithm. Its cost function is modified so it is based on the length of the routes rather than edit distance. Unlike characters, grid fields match if they are close to each other in the grid. Furthermore the basic algorithm is modified to allow a single “character” to match multiple others. The complexity is O(mn), m and n being the number of grid fields in the rasterized routes. While these are dependent on the rasterization, it is shown that if the lateral grid size is bounded by the average line segment length, then the complexity is bounded by O(st), where s and t are the number of line segments in the routes. The algorithm is tested on a dataset made by GPS-tracking runners and cyclists and is found to be both feasible and capable of consistently producing the desired results.
Falls in the elderly: Prevalence and explanatory factors in Kinshasa: Democratic Republic of Congo

Introduction: The fall of the elderly is a real fact and affects many elderly people at home. The objective of this study is to contribute to the prevention of falls in the elderly at home in the Democratic Republic of Congo. Methods: This is a descriptive cross-sectional study of 115 elderly people living at home in the city of Kinshasa. Data were collected in December 2021. The relationships between the prevalence of falls, the extrinsic or intrinsic characteristics of the elderly and the risk factors for falls were analysed by multivariable logistic regressions. Results: Analyses were performed on 115 seniors, more than 60% of whom were aged 75 years and over. The prevalence of falls was 41.7%. It was higher in patients who used psychotropic drugs with a sleep disorder (ORa= 9 [2.9-31.3]; p<0.001) and those with comorbidity (ORa=2.7[1.2-5.9]; p<0.001). The use of technical aids was found to be a protective factor (ORa=0.2 [0.1-0.9]; p<0.039). Conclusion: Falls of elderly people at home are frequent in the Democratic Republic of Congo due to the lack of appropriate care institutions. In a context marked by the ageing of the population, a monitoring and supervision programme for the elderly and systematic screening to identify the risk factors for falls in the elderly living at home is essential if we want to significantly reduce its prevalence and consequences.
Sparse solutions for linear prediction problems

The simplicity of an idea has long been regarded as a sign of elegance and, when shown to coincide with accuracy, a hallmark of profundity. In this thesis our ideas are vectors used as predictors, and sparsity is our measure of simplicity. A vector is sparse when it has few nonzero elements. We begin by asking the question: given a matrix of n time series (vectors which evolve in a "sliding" manner over time) as columns, what are the simplest linear identities among them? Under basic learning assumptions, we justify that such simple identities are likely to persist in the future. It is easily seen that our question is akin to finding sparse vectors in the null space of this matrix. Hence we are confronted with the problem of finding an optimally sparse basis for any vector space. This is a computationally challenging problem with many promising applications, such as iterative numerical optimization, fast dimensionality reduction, graph algorithms on cycle spaces, and of course the time series work of this thesis. In part I, we give a brief exposition of the questions to be addressed here: finding linear identities among time series, and asking how we may bound the generalization error by using sparse vectors as hypotheses in the machine learning versions of these problems. In part II, we focus on the theoretical justification for maximizing sparsity as a means of learning or prediction. We'll look at sample compression schemes as a means of correlating sparsity with the capacity of a hypothesis set, as well as examining learning error bounds which support sparsity. Finally, in part III, we'll illustrate an increasingly sophisticated toolkit of incremental algorithms for discovering sparse patterns among evolving time series.
Business Value of E-CRM: A Multi-Case Study of Applications in Business Value of E-CRM: A Multi-Case Study of Applications in Manufacturing and Service Industry of Taiwan Manufacturing and Service Industry of Taiwan

: Since it is a well known fact that the cost to attract a new customer is approximately 5~10 times more than the cost of keeping existing clients for the enterprise, it is a very crucial issue for the business to focus on the need of customer relationship management. Therefore, e-CRM (electronic CRM) is widely accepted recently and the adopting rate in certain organization is up to 49% annually. In this study, a systematic multi-case study in Taiwan is performed for the B2B manufacturing industry and B2C service business in order to find the critical function and important issues for e-CRM in those businesses. In addition, the efficiency factors for e-CRM are analyzed since the roles of the clients in B2C and B2B are different, i.e., the organizational and personal behavior is compared. The preliminary results show e-CRM in Taiwan has been successfully improving the service for B2B and B2C and promoting closer relationship for both the sellers and buyers. The target of new customer acquiring is also improved effectively.
Compatibility of Tumor Grades in Pre-Operative Biopsies, Frozen Sections, and Post-Operative Specimens in Patients with Endometrial Cancer

OBJECTIVE The aim of this study was to evaluate the compatibility of tumor grades in pre-operative biopsies, frozen sections and post-operative specimens and to evaluate the adequacy of a selective surgical staging policy based on information obtained from intra-operative frozen sections to avoid lymphadenectomy in patients with endometrial cancer (EC).
Birth Outcome and Maternal Risk Factors Associated with Childhood Leukemia in Rwanda: A case - Control Study

BackgroundLeukemia is the most common cancer affecting children and remains the top cause of death among children.ObjectiveThis study aimed at determining birth outcomes and maternal risk factors associated with childhood leukemia in Rwanda.MethodsA case control study was conducted at Butaro Cancer Referral hospital. The sample of 103 cases and 103 controls was recruited using the records for children diagnosed with Acute lymphocytic leukemia (ALL) and Acute myelogenous leukemia (AML) and those who were hospitalized for non-cancer treatment as controls. Semi-structured questionnaire and phone calls were used to gather information. SPSS version 21.0 was used to analyze the data. Logistic regression analysis was used to assess the risk factors.ResultsThe majority (56.8%) of children who participated in the study were aged 10-14 years. Overall 41.3% were born via C-Section. It was revealed that children who had had birth asphyxia had about three (3) times increased risk of childhood leukemia [AoR= 2.47, 95%CI: 1.167-5.262, P=0.018] compared to children that had not experienced birth asphyxia. Children who had suffered Neonatal Jaundice, had five (5) times increased risk of getting leukemia [AOR= 5.05, 95%CI: 1.738-14.664, P=0.003]. ConclusionIt is important that public and private stakeholders invest more in childhood oncology researches to enable the health system deliver effective management of the cases more efficiently. Rwanda J Med Health Sci 2022;5(2):158-169
Multi‐channel attack detection based on lightweight message authentication code access control using Internet of Things design

The Internet of Things (IoT) is a network of interconnected, Internet‐connected items that can gather and transmit data without the need for human interaction through a wireless network. Cryptography is a way of using codes to safeguard information and communications so that only those who are supposed to read and process it may do so. Existing system shows privacy and replication issues caused during cipher text attribute set based encryption. The technical issues in achieving secured authentication is removed by using multi‐channel attack detection based on lightweight message authentication code (LMAC) access control using IoT design in which collision attack can be removed by using secure hash algorithm based Merkle tree and to control sinkhole attacks agent navigation algorithm is proposed and long short‐term memory (LSTM) recurrent neural network (RNN) is proposed to provide the conformity of the user login password. Moreover, to identify attackers on the transmitter side by ensuring authentication, multichannel detection method is proposed. Finally, the security and privacy is improved by using LMAC and user revocation. Thus the multi‐channel attack detection based on LMAC using IoT design can be outperforming the other existing model with higher throughput and low execution time.
Quelques conséquences de la convergence locale faible pour les graphes aléatoires

Dans la limite “diluee” ou les nombres d'aretes et de sommets divergent de maniere comparable, on s'attend a ce que le comportement asymptotique de nombreux invariants de graphes ne depende que de statistiques purement locales. Cette heuristique provient de l'etude thermodynamique de certains systemes desordonnes en physique statistique, ou la contribution microscopique de chaque particule est insensible aux perturbations lointaines. Mathematiquement, une telle absence d'interactions a longue portee se traduit par la continuite de l'invariant vis-a-vis de la topologie de la convergence locale faible. En particulier, l'invariant admettra une limite deterministe le long de la plupart des suites de graphes aleatoires classiques, et pourra etre efficacement approxime par des algorithmes locaux et distribues, independamment de la taille totale du systeme. Dans cette these, nous etudions quatre invariants de graphes qui jouent un role essentiel en theorie comme dans les applications : la distribution spectrale empirique, la dimension du noyau de la matrice d'adjacence, la taille d'un couplage maximum, et le polynome enumerant certaines familles de sous-graphes couvrants. Nous montrons qu'il existe une unique maniere localement coherente d'etendre chacune de ces notions aux limites locales faibles de graphes finis, et que ce prolongement est continu. Pour les modeles de graphes aleatoires classiques, les equations de coherence locale se simplifient en une equation aux distributions que nous resolvons explicitement. Cela conduit a de nouvelles formules asymptotiques, ainsi qu'a la simplification, l'unification et la generalisation de divers resultats jusqu'alors isoles.
Notas taxonómicas sobre la "hormiga loca" (Hymenoptera: Formicidae: Paratrechina fulva) en Colombia

La hormiga loca Peretrecnine fulva (Mayr) (Hymenoptera: Formicidae) se mtrodujo hace algunas décadas en algunas partes de Colombia para el control de ofidios venenosos. La hormiga misma resultó ser una plaga importante para el hombre y sus animales domésticos. Debido a la carencia de una revisión para las especies del género en la Región Neotropical, se ofrecen notas taxonómicas sobre la especie para facilitar su identificación. Paratrechina puede distinguirse de cualquier otra formicina por los pelos grandes y gruesos (macroquetas) en todo el dorso del cuerpo excepto metanoto. propodeo y pecíolo, y por la configuración mandibular, donde los dientes subbasat e intercalar son los más pequenos. P. fulva puede distinguirse en Colombia por su color café rojizo y la pubescencia densa en el tórax que le hacen dar un aspecto opaco.
Robust Energy-Efficient Hybrid Beamforming Design for Massive MIMO LEO Satellite Communication Systems

In low earth orbit (LEO) satellite communication systems, the limited energy supply capacity and the difficulty in obtaining channel state information (CSI) are the practical challenges. Motivated by this, we focus on the design of robust hybrid beamforming to maximize the energy efficiency of LEO satellite communication systems. Assuming that the LEO satellite transmitter adopts the massive multi-input multi-output (MIMO) technology, considering the CSI errors caused by propagation delay and Doppler shift, under the constraints of transmit power and quality of service (QoS), a robust energy-efficient hybrid beamforming scheme is proposed. Since that there are no explicit expressions for the ergodic user rate and the ergodic signal-to-interference-plus-noise ratio, the approximate values with closed-form expressions are adopted. Then, we invoke the semidefinite programming (SDP) algorithm to transform the nonconvex quadratic constrained quadratic programming (QCQP) problem equivalently, and an inner and outer nested iterative algorithm combining quadratic transformation fractional programming (QTFP) and concave convex process (CCCP) is utilized to transfer a nonconvex problem into a convex problem. Meanwhile, we adopt a penalty function algorithm to solve the rank-one constraint in semidefinite programming algorithm. Finally, we invoke the normal form distance minimization (NFDM) algorithm and the alternating optimization (AltOpt) algorithm to jointly solve the digital beamforming matrix and analog beamforming matrix in hybrid beamformer. Numerical results validate that our proposed robust approach significantly outperforms the conventional one.
Análisis de secuencias de ADN mitocondrial (Cytb y ND1) en Lucilia eximia (Diptera: Calliphoridae)

Lucilia eximia (Diptera: Calliphoridae) es una especie de importancia forense debido a su asociación con cuerpos en descomposición en Antioquia y otras regiones de Colombia. La implementación de metodologías que permitan la identificación rápida y acertada de esta especie es de gran importancia en entomología forense. En la actualidad las secuencias de ADN mitocondrial son consideradas una herramienta complementaria a la taxonomía clásica y son utilizadas en la tipificación de especies morfológicamente similares o indistinguibles como en el caso de las moscas de importancia forense. En el presente trabajo se estudio la variabilidad de la región mitocondrial (Cyt b-RNAt-Ser-ND1) en un fragmento de 480 pb amplificada por PCR y cuyo ADN fue obtenido de larvas de tercer estadio de L. eximia provenientes de Medellín y dos zonas aledañas. Las diferencias en las secuencias en términos de nucleótidos y distancias genéticas permitieron separar los individuos de la especie de interés de otras especies cercanas. Así mismo, al realizar un análisis de NJ (K2P), se observó una agrupación de los haplotipos relacionada con la procedencia geográfica de los individuos.
A Wushu Referee’s Decision Support System Using Error Recognition Theory

To realize the recognition and scoring of Wushu Athletes’ wrong actions by electronic referees, reduce the difficulty of referees’ recognition, help reduce man-made errors and influence in the process of competition judgment, and make the referee work fairer and more scientific, therefore, this paper aims to make an in-depth study on the Wushu referee decision support system based on the theory and method of error recognition. Firstly, this paper discusses the overall architecture of the Wushu decision support system, analyzes the functions and database design of each system in the system, constructs a digital and information-based Wushu referee decision support system, and uses the error matrix logic equation to solve the recognition state and goal. The Nrej3d technology is introduced for collecting the characteristics of martial arts wrong actions, and matching recognition is completed by using the sports space, to complete the research on the decision support system of martial arts referees based on the theory and method of wrong recognition. The simulation results show that the method proposed in this paper is superior to other methods in the recognition accuracy and effective measurement of martial arts wrong movements and has a certain application value.
Efecto patogénico de cuatro aislamientos de Beauveria bassiana (Bals.) Vuill. (Hyphomycetos) sobre larvas de Bombyx mori (L.) (Lepidoptera: Bombycidae) en laboratorio

La técnica para la cría de insectos que producen seda y el aprovechamiento de esta se conoce como Sericicultura. El insecto que mayor rendimiento presenta en este aspecto es el gusano de seda, Bombyx mori (L.), el cual es atacado por protozoarios, bacterias, virus y hongos. Con la llegada a Colombia de la broca del café, Hypothenemus hampei (Ferrari), y las investigaciones para su control con hongos entomopatógenos, se han creado expectativas sobre el efecto de las aspersiones de estos hongos en cafetales aledaños al cultivo de la morera, la cual constituye el único alimento del gusano de seda. El objetivo del experimento fue determinar si existen diferencias entre aislamientos del hongo B. bassiana sobre el gusano de seda en cuanto a patogenicidad se refiere. Se utilizaron los aislamientos Bb-9002, Bb-9022, Bb-9105 y Bb- 9107, cuyos huéspedes fueron: H. hampei, Nephotettix cincticeps (Ulher), Pe­rileucoptera coffeella (Guérin Méneville) y B. moti, respectivamente. Grupos de 50 larvas (cinco repeticiones) se inocularon con una concentración de lx107 conidias/ml de cada aislamiento,respectivamente. Durante la evaluación se registró la mortalidad causada por el virus causante de la Poliedrosis Nuclear (VPN). Las larvas infectadas con el aislamiento Bb-9107 presentaron un porcentaje de mortalidad mayor (10%), seguido de Bb-9105 aislado apartir de otro lepidópero. El mayor porcentaje de mortalidad por el VPN también se registró en las larvas infectadas con Bb-9107.
Técnicas moleculares como herramientas en la epidemiología. Análisis de la dispersión y posibilidad de reinfestación por Rhodnius colombiensis (Hemiptera: Reduviidae)

Se analizaron molecularmente insectos del género Rhodnius, pertenecientes al hábitat doméstico y silvestre para determinar la posibilidad de reinfestación de las viviendas por parte de la pobla• ción silvestre y así orientar apropiadamente los programas de control y vigilancia epidemiológica. Se generaron dendrogramas utilizando programas de cómputo, los cuales, junto con los valores calculados de Fst (0,2421) y Nm (1,05), sugieren que no existe flujo genético entre las dos poblaciones, es decir, que se trata de dos poblaciones aisladas. Sin embargo, se encontraron 4 individuos que fueron colectados dentro de las casas pero se caracterizaron como pertenecientes a la población silvestre mediante rDNA-PCR y adicionalmente se agruparon en el cluster de la población silvestre; esto indicaría un posible movimiento de individuos silvestres hacia áreas domiciliares, por lo tanto se recomienda monitorear periódicamente las viviendas para evitar una posible reinfestación.
Crown lengthening procedure based on cone beam computed tomography measurements

This case report describes about a patient's desire and visualization of a pleasant smile for whom esthetic crown lengthening is indicated due to excessive gingival display. The Cone Beam Computed Tomography (CBCT) scan was used as a measurement using smile design principle which provided a reference for flap surgery and osteotomy procedure. A 6 months post-surgery follow up was obtained.
Une approche modulaire probabiliste pour le routage à QdS intégrée

Due to emerging real-time and multimedia applications, efficient routing of information packets in dynamically changing communication network requires that as the load levels, traffic patterns and topology of the network change, the routing policy also adapts. We focused in this paper on QoS based routing by developing a neuro-dynamic programming to construct dynamic state dependent routing policies. We propose an approach based on adaptive algorithm for packet routing using reinforcement learning which optimizes two criteria: cumulative cost path and end-to-end delay. Numerical results obtained with OPNET simulator for different packet interarrival times statistical distributions with different levels of traffic’s load show that the proposed approach gives better results compared to standard optimal path routing algorithms. MOTS-CLES. Routage multi chemins, Minimisation du delai de bout en bout, Routage avec QoS, Q-Routing, Apprentissage par renforcement.
Effects of Plant Biostimulants and Forchlorfenuron on Fruit Set and Quality of “Canino” Apricot Fruits

Corresponding author: Said Mohamed Attia, E-mail: said.attia@agr.dmu. edu.eg. Tel. 01003888051 (Received 11/02/2022, accepted 30/05/2022) DOI: 10.21608/ejoh.2022. 121265.1191 ©2022 National Information and Documentation Centre (NIDOC) T experiment was carried out during 2019 and 2020 seasons on 6-yrs old of “Canino” apricot trees spaced at 6m × 4m apart and grown in sandy soil under drip irrigation system in a private farm at El-Nubaria region, Beheira governorate to investigate the effect of preharvest foliar spraying with salicylic acid at (25 and 50 ppm), seaweed extracts at (0.5g and 1g) and forchlorfenuron at (5ppm and 10ppm) at full bloom and at 10 days after fruit set on fruit set, fruit quality and yield of “Canino” apricot fruits. Results indicated that pre-harvest application of forchlorfenuron at full bloom and after 10 days of fruit set significantly increased fruit set, fruit size, weight and chlorophyll a and b. on the other hand, decreased peel carotene contents at harvest in comparison to control. The results also, reveal that, the application of the seaweed extracts enhanced fruit set and quality of apricots. Pre-harvest application of salicylic acid increased fruit weight, size and carotene. In summary, the results of the present study illustrated that pre-harvest application of salicylic acid, seaweeds and forchlorfenuron improved fruit set and fruit quality of apricot fruits especially at high concentrations.