bluuebunny/crossref_metadata_2025 huggingface dataset:
Community Food Systems and the Nutritional Status of Children 6-24 Months in Obunga Slums, Kisumu Kenya: A Cross-Sectional Study
Authors: Mbae-Mugambi Umotho Kinya , Onyango Christine Agatha , Omondi David Okeyo
Published: September 2023

Kenya is grappling with many public health problems; one of the most critical is childhood malnutrition. Underweight rates are 11%, stunting at 26%, and wasting at 4%. In Obunga slums, stunting was 40.2% for children below sixty months, underweight at 10.2%, and wasting at 9%. Globally, children between 6-24 months contribute the most to malnutrition among under-fives. Nevertheless, after 24 months, stunting, an indicator of chronic malnutrition, is irreversible. Obunga slums, compared to other slums in Kenya, registered the highest levels of stunting at 40.5% despite various interventions. Some of the risk factors that recurrently exist as determinants of nutritional status in urban slums are socio-demographic factors. Other potential factors that seem to be ignored are the food systems-related socio-demographics, which seem to be in constant aetiology. This study determined the relationship between community food systems and the nutritional status of children between 6-24 months. Specifically, to assess the nutritional status and determine the relationship between the community food system and nutritional status. A cross-sectional design was adopted, and households with a child aged 6-24 months in Obunga slums were included. A sample of 189 children was selected through a simple random sampling technique. A questionnaire was used to collect data on community food systems. The anthropometric assessment was used to collect data on the nutritional status of the children. Data analysis was done through descriptive statistics and binary logistic regression. The results reveal that the study had 189 children, 108 males and 81 females. Prevalence of wasting was at 3.2%, overweight at 6.9%, stunting at 27.0%, and underweight at 7.4%. Community Food Systems: An increase in the food sources increased the prevalence of underweight both at a (Crude O.R. =19.500, C.I. =1.61-236.61) and at an (A.O.R. = 21.331, C.I. =1.370-332.239). While frequency in the child consumption of food from restaurants/hotels increased wasting by 14 times (A.O.R of 14.52, C.I. = 1.39 -151.71 P<0.05). However, purchasing foods from restaurants and hotels reduced stunting by 0.13 times (A.O.R = 0.13, C.I. = 0.02 - 0.90, P<0.05). This study enumerated insight that may allow appropriate intervention programs to help align community food systems and mitigate child malnutrition in Obunga slums and other urban slums
ANALISA KONSENTRASI REAKTAN TERHADAP PRODUK GAS HIDROGEN PADA REAKSI HIDROLISIS KOMPOR BERBAHAN BAKAR LIMBAH KALENG BEKAS
Authors: Sukadi  , Novarini
Published: September 2023

Inorganic waste is rubbish that cannot be broken down by nature such as metals, plastics and glass. Garbage for the city of Jambi is a problem that has not been resolved to date. One example of the type of metal waste that can be managed is Aluminum such as used beverage cans. One way that technology can be developed to treat aluminum waste packaging for used beverage cans (soft drinks) is by way of recycling. The method that can be used is the hydrolysis process to produce hydrogen gas as stove fuel. The hydrolysis process is carried out by mixing Sodium Hydroxide, Aluminum, and Water. An analysis of the composition of Aluminum, Water and Sodium Hydroxide (NaOH) is carried out to produce maximum hydrogen gas with a fixed reactor volume. the results of research conducted obtained the volume of H volume gas formed, the highest pressure and temperature (130 l, 200 psi and 100 ° C) with the use of maximum reactants, namely aluminum from 400 g canned waste and 4N NaOH. NaOH acts as a catalyst in the aluminum reaction and water forms NaAl (OH) ₄ which releases hydrogen gas in the exothermic reaction..
A Mathematical Model of an Automated Control System for Heat Regulation in a Building
Authors: Telgozhayeva Farida , Arici Muslum , Kunelbayev Murat , Tyulepberdinova Gulnur , Spabekova Zhanara , Berdygulova Ainagul , Shaken Yeraly
Published: September 2023

In this study, a mathematical model of an automated control system for heat regulation in a building was developed. A method of mathematical modeling of the centralized heating control system based on mathematical models of distributed power systems and experimental studies has been developed, which allows for determining the parameters of the coolant when the outdoor temperature changes, qualitative regulation of heat in autonomous sources, quantitative regulation in automated individual heating devices, etc. The method makes it possible to study the interaction of an automated individual heating point to increase the efficiency of the management of distributed power systems of buildings. As a result of studying the controller created by the R2 control unit, for the PI controller, the calculated heat consumption of the building imperceptibly increases from 1.08502 kJ to 1.085888 kJ when an oscillatory transient occurs, and for the I controller, the calculated heat consumption of the building remains at the same level. The level, as for the PI controller, increases slightly during the oscillatory transition from 1.08456 GJ to 1.08535 GJ.
Deep Learning for Pneumonia Classification in Chest Radiography Images using Wavelet Transform
Authors: Azeroual Amal , Nsiri Benayad , Drissi Taoufiq Belhoussine , El Ammari Amine , Charrafi Abdessamad , Nassar Ittimade , Benaji Brahim
Published: September 2023

Chronic respiratory diseases constitute a prognostic severity factor for some respiratory illnesses. A case in point is pneumonia, a lung infection, whose effective management requires highly accurate diagnosis and precise treatment. Categorizing pneumonia as positive or negative does go through a process of classifying chest radiography images. This task plays a crucial role in medical diagnostics as it facilitates the detection of pneumonia and helps in making timely treatment decisions. Deep learning has shown remarkable effectiveness in various medical imaging applications, including the recognition and categorization of pneumonia in chest radiography images. The main aim of this research is to compare the efficacy of two convolutional neural network models for classifying pneumonia in chest radiography images. The first model was directly trained on the original images, achieving a training accuracy of 0.9266, whereas the second model was trained on images transformed using wavelets and achieved a training accuracy of 0.94. The second model demonstrated significantly superior results in terms of accuracy, sensitivity, and specificity.
Sidorovite, PtFe3, A NEW MINERAL FROM THE SNEGOVAYA RIVER PLACER, KORYAK HIGHLANDS, RUSSIA
Authors: Kutyrev Anton , Mcdonald Andrew M. , Tamura Nobumichi , Cabri Louis J. , Tolstykh Nadezhda , Pekov Igor V.
Published: September 2023

Sidorovite, ideally PtFe3, is a new mineral from the Epilchik ultramafic complex and nearby Snegovaya River placer, Koryak Highlands, Russia. It was found in isoferroplatinum grains extracted from a heavy-mineral concentrate obtained from crushed lode chromitites and alluvial material. Sidorovite occurs either as a part of complex grains comprising tetraferroplatinum, native iron, hollingworthite, magnetite, serpentine, and chromite or as part of secondary rims which formed together with tetraferroplatinum after isoferroplatinum. According to the Laue pattern obtained by synchrotron microdiffraction, sidorovite is cubic, crystallizing in space group Pm3¯m and adopting an Au3Cu-type crystal structure. Its unit-cell parameters are a = 3.725(4) Å, V = 51.687(4) Å3, Z = 1. The calculated density is 11.815 g/cm3. The strongest X-ray diffraction lines are [d (Å) (I, %) (hkl)] 2.161 (100) (111), 3.711 (48) (100), 1.871 (36) (200), 1.673 (27) (210). No cleavage was observed and hardness could not be determined owing to the small size of the grains. The empirical formula of sidorovite calculated based on four atoms is: Pt1.04(Fe2.89Cu0.05Ni0.02)Σ2.96. The mineral is posited to form through the incorporation of Fe0 by tetraferroplatinum, which arises through the reduction of Fe via H2-bearing fluids produced through the serpentinization of olivine at T < 450 °C. The name of the new mineral honors the Russian geologist and mineralogist Evgeniy Gennadievich Sidorov (1955–2021).
Praktik Perjanjian Jual Beli Perumahan Hijau Daun Asri Kota Singkawang Ditinjau Dari Perspektif Hukum Islam
Authors: Armelia Della , Yuniarti Desi , Tehedi Tehedi
Published: September 2023

Kebutuhan akan perumahan dapat dengan cara membangun sendiri atas biaya sendiri atau mendapatkan melalui membeli perumahan yang telah dibangun oleh pengembang. Adapun fokus masalah dalam penelitian ini yaitu: bagaimana pelaksanaan perjanjian jual beli perumahan Hijau Daun Asri di Kelurahan Sungai Garam Hilir Kecamatan Singkawang Utara, dan bagaimana tinjauan hukum Islam terhadap pelaksanaan akad jual beli perumahan Hijau Daun Asri di Kelurahan Sungai Garam Hilir Kecamatan Singkawang Utara. Berdasarkan hasil penelitian bahwa antara developer dan konsumen perumahan Hijau Daun Asri melakukan perjanjian tertulis, yang mana pihak developer berkewajiban untuk pemenuhan sarana dan prasarana perumahan seperti akses jalan perumahan, hal ini tertuang dalam perjanjian pendahuluan tentang pengikatan jual beli perumahan Hijau Daun Asri. Perspektif Hukum Islam dalam pelaksanaan perjanjian jual beli perumahan Hijau Daun Asri apabila pihak developer melakukan wanprestasi atau ingkar janji, dan itu merupakan suatu bentuk pelanggaran jika memang dilakukan dengan unsur kesengajaan.
Attention allocation in complementary joint action: How joint goals affect spatial orienting
Authors: Schmitz Laura , Wahn Basil , Krüger Melanie
Published: September 2023

When acting jointly, individuals often attend and respond to the same object or spatial location in complementary ways (e.g., when passing a mug, one person grasps its handle with a precision grip; the other receives it with a whole-hand grip). At the same time, the spatial relation between individuals’ actions affects attentional orienting: one is slower to attend and respond to locations another person previously acted upon than to alternate locations (“social inhibition of return”, social IOR). Achieving joint goals (e.g., passing a mug), however, often requires complementary return responses to a co-actor’s previous location. This raises the question of whether attentional orienting, and hence the social IOR, is affected by the (joint) goal our actions are directed at. The present study addresses this question. Participants responded to cued locations on a computer screen, taking turns with a virtual co-actor. They pursued either an individual goal or performed complementary actions with the co-actor, in pursuit of a joint goal. Four experiments showed that the social IOR was significantly modulated when participant and co-actor pursued a joint goal. This suggests that attentional orienting is affected not only by the spatial but also by the social relation between two agents’ actions. Our findings thus extend research on interpersonal perception-action effects, showing that the way another agent’s perceived action shapes our own depends on whether we share a joint goal with that agent.
Test–retest reliability of reinforcement learning parameters
Authors: Schaaf Jessica V. , Weidinger Laura , Molleman Lucas , van den Bos Wouter
Published: September 2023

It has recently been suggested that parameter estimates of computational models can be used to understand individual differences at the process level. One area of research in which this approach, called computational phenotyping, has taken hold is computational psychiatry. One requirement for successful computational phenotyping is that behavior and parameters are stable over time. Surprisingly, the test–retest reliability of behavior and model parameters remains unknown for most experimental tasks and models. The present study seeks to close this gap by investigating the test–retest reliability of canonical reinforcement learning models in the context of two often-used learning paradigms: a two-armed bandit and a reversal learning task. We tested independent cohorts for the two tasks (N = 69 and N = 47) via an online testing platform with a between-test interval of five weeks. Whereas reliability was high for personality and cognitive measures (with ICCs ranging from .67 to .93), it was generally poor for the parameter estimates of the reinforcement learning models (with ICCs ranging from .02 to .52 for the bandit task and from .01 to .71 for the reversal learning task). Given that simulations indicated that our procedures could detect high test–retest reliability, this suggests that a significant proportion of the variability must be ascribed to the participants themselves. In support of that hypothesis, we show that mood (stress and happiness) can partly explain within-participant variability. Taken together, these results are critical for current practices in computational phenotyping and suggest that individual variability should be taken into account in the future development of the field.
Examination of the Suitability of Available Energy Crops for Biodiesel Production as an Adaptative Measure to Climate Change in Nigeria
Authors: Onuoha D. C. , Ogbo O. G.
Published: September 2023

Motivated by the need to reduce the amount of CO2 and other Green House Gases (GHGs) in the atmosphere as a means of climate change adaptation, this study was carried out to identify and examine the suitability of available energy crops in Nigeria. Secondary data sources were adopted in the identification of the energy crops and it was found that sugarcane, Soybeans, maize, wheat, oil palm and Jatropha; among others are available in Nigeria and can be utilized in the production of bio-fuel to replace the fossil-fuel presently in use in other to reduce the emission of GHGs. The suitability appraisal was conducted by interviewing professionals on which of the identified energy crops will be most suitable and why. A total of 30 professionals were purposively selected and interviewed, 10 Chemists, 10 Environmentalists and 10 from Biosciences. 28 out of the 30 supported the adoption of Jatropha Curcas considering the cost of production, benefits attached and effects on food availability and food security, since it is not edible. The study therefore recommended that Jatropha Curcas Seeds be harnessed for bio-diesel production in Nigeria. A policy design to improve the production and processing of the Jatropha Curcas was proposed while a thorough research into the economics and cost benefit analyses is deemed necessary.
Species Composition and Distribution of Anopheles Mosquito Vectors in Kontagora, Niger State, Nigeria
Authors: Garba Yusuf
Published: September 2023

The endemicity of malaria in any locality in determine by indigenous Anopheles species composition, distribution as well as Plasmodium infectivity. This research was conducted to determine the species composition and distribution of Anopheles mosquito vectors in Kontagora, Niger State Nigeria. Adult mosquitoes were collected from five (5) sampling sites widely located in Kwangwara, Tudun wada, Dadin kowa, Sabon gari and Usubu areas of Kontagora metropolis. Collected mosquitoes were taken and examined in the laboratory, sorted into Anopheles and identified into species using standard taxonomic keys and Polymerase Chain Reaction (PCR) techniques respectively. Data generated were analysed using the Statistical Package for Social Scientists (SPSS) software version 20.3 and excel package. Anopheles species composition was expressed as the percentage of total Anopheles mosquitoes collected. Chi-square test was used to compare the results from the five sampling locations. The results of the study revealed six (6) Anopheles species; namely An. gambiae, An. funestus, An. squamosus, An. coustani, An. nili and An. maculipalpis, whose distribution varied significantly (p < 0.05) between sampling locations with An. gambiae predominating. Findings therefore revealed the preponderance of Anopheles gambiae species, indicating high malaria transmission potentials in the study area. This underscores the importance of generating intensive spatio-temporal information on the risk factors associated with malaria transmission on a local scale.
Valoración Antioxidante de una bebida de Chocho y Granada (Lupinus Mutabilis, Punica Granatum) como alternativa nutricional para geriátricos
Authors: Balarezo Carolina Beltrán , Sánchez Prado Raquel Estefanía , Mauricio Santiago Bravo Aguilar , Cristina Vanessa Fernández Vélez
Published: September 2023

La mala nutrición en los adultos mayores tiene un impacto negativo en la salud, lo que lleva a una inmunidad debilitada, una curación lenta, pérdida de masa muscular y fragilidad ósea. Las frutas ricas en antioxidantes se estudian en busca de posibles beneficios para la salud en la industria alimentaria. Las preocupaciones surgen del aumento del consumo de bebidas azucaradas debido a su escaso valor nutricional, lo que contribuye a enfermedades crónicas como la obesidad, la diabetes y las enfermedades del corazón. La escasa producción de productos a base de legumbres, se propone crear una bebida de chocho, una leguminosa nutricionalmente densa. Estas legumbres se destacan por su alto contenido de proteínas, lípidos y compuestos bioactivos, siendo relevantes en la prevención y tratamiento de enfermedades crónicas, con la adición de granada (Punica granatum) se distingue por su pulpa jugosa y semillas abundantes, ofreciendo vitaminas, minerales y potentes antioxidantes como flavonoides y compuestos fenólicos. Este estudio busca caracterizar una bebida antioxidante de chocho (Lupinus mutabilis) y granada (Punica granatum), empleando edulcorantes no calóricos. Estos, al carecer de carbohidratos, evitan alterar los niveles de glucosa, aportando menos energía y calorías. Además, superan a la sacarosa en poder endulzante, siendo alternativas al azúcar. Para personas con diabetes, obesidad o síndromes metabólicos, los edulcorantes no calóricos también tienen valor medicinal.
Vulneración de la Relación Laboral Mediante la vía Administrativa a Través del Visto Bueno
Authors: Mejía Guaman Jean Carlos , Peña Armijos Guido Ecuador , Capa Cabrera Davis Xavier
Published: September 2023

El Visto Bueno, es un acto meramente administrativo del cual una de las partes expresa su deseo de dar por terminada la relación laboral por algunas de las causales establecidas en el artículo 172 y 173 del Código del Trabajo, artículos en los cuales se establecen las causas legales por las cuales un empleador o trabajador puede solicitar el visto bueno respectivamente. Para ello y para un mejor entendimiento hemos desarrollo investigaciones referentes al concepto de la solicitud de visto bueno, la prescripción, la solicitud de visto bueno a petición del empleador y a petición del trabajador, las causales legales establecidas en el Código del Trabajo para proceder con la solicitud, el contenido de la solicitud de visto bueno, el procedimiento y la impugnación a la resolución emitida por el Inspector del Trabajo. Como métodos de investigados utilizados para la realización de este artículo tenemos el método exegético, descriptivo, hermenéutico y analítico; mismos que nos permitieron estudiar y analizar las normas jurídicas como el Código del Trabajo y Acuerdos Ministeriales, para a su vez contextualizar con la realidad jurídica y administrativa que conlleva este tipo de trámites, como lo es el Visto Bueno.
La Evolución de las Redes de Datos en el Sector Industrial
Authors: Piñeiro Ponce Miguel Ángel , Hernández Pópulos Ricardo , Barbosa Olivares Arturo , Velázquez Acosta Ana Laura , Barbosa Moreno José Arturo
Published: September 2023

Dentro del entorno general de este trabajo, se pretende establecer como han evolucionado las redes de datos en el sector industrial, así como dar a conocer las alternativas con las que se cuenta actualmente en relación a las redes de datos para la industria; se considera una problemática ya que actualmente la mayoría de las industrias no han comprendido como se han transformado las redes de datos y no han dimensionado la necesidad de estar a la vanguardia de estas, lo que nos hace establecer en este trabajo alternativas de solución para esta situación, por lo que se da a conocer un entorno de conocimientos en cuanto a la evolución de las redes y que alternativas existen con la finalidad de que se aproveche al máximo el rendimiento de las redes en el sector industrial y que estas vean la posibilidad de seguir creciendo en la tecnología y productividad de sus negocios a través de las redes de datos.
Prácticas de Enseñanza de la Escritura. Estudio de Caso en Docentes de Básica Secundaria
Authors: Álvarez Cantero Liana
Published: September 2023

Este artículo está asociado a la investigación doctoral Representaciones discursivas de los docentes de Lengua Castellana sobre sus prácticas de enseñanza de la escritura, cuyo propósito es comprender las prácticas de enseñanza de la composición escrita en la básica secundaria. Desde la perspectiva cualitativa y el enfoque fenomenológico, se diseñó un estudio de caso, a través del cual se describe el fenómeno, considerando la reflexión presente en los discursos de los docentes. Los resultados señalan la existencia de dos vertientes conceptuales y didácticas opuestas en las prácticas pedagógicas referidas por los docentes. Por un lado, se evidencia el abordaje de la enseñanza de la escritura desde un enfoque gramatical y normativo; y por otro, una aproximación al enfoque semántico comunicativo, sugerido en los lineamientos curriculares del área de Lengua Castellana en Colombia. A partir de estos hallazgos se devela la necesidad de propiciar programas formativos para los docentes en servicio, de tal manera que se logre un balance entre los aspectos teóricos y prácticos de la enseñanza de la escritura que permita movilizar y transformar las enseñanzas tradicionales arraigadas en el pensamiento y la actuación de los maestros.
Gestión en la Implementación de Quioscos Escolares Saludables: Estudio Comparativo en dos Escuelas Públicas De Primaria
Authors: Ruiz-Pérez Joel Hugo
Published: September 2023

Desarrollar hábitos de vida saludable es una prioridad mundial porque una mala alimentación causa enfermedades mortales (OMS, 2019): Al respecto, las escuelas constituyen un contexto para fomentar dichos hábitos con apoyo de la gestión directiva; en tal sentido, el presente estudio analizó los niveles de gestión en la implementación de quioscos escolares saludables, desde la precepción de los estudiantes de primaria. Fue de enfoque cuantitativo, tipo aplicada, diseño no experimental, descriptivo-comparativo con una muestra de 115 de alumnos que cursaban el 5° y 6º grado de educación primaria de dos Instituciones educativas de Lima Este. Para la recolección de información se utilizó un cuestionario validado y con una confiabilidad buena de 0,80 según el coeficiente de Alfa de cronbach. En los resultados descriptivos se encontró que son los estudiantes de la IE Héroes de Breña quienes perciben con mayor nivel de eficiente en un 78,2% a diferencia de los de la IE Hanni Holfes que lo perciben con un 70% en el mismo nivel. En el contraste de la hipótesis se concluye que existen diferencias significativas en los niveles de gestión de quioscos saludables entre ambas instituciones educativas según la prueba U de Mann-Whitney con un p=0,13 que es < 0,05.
Monocular Distance Estimation-based Approach using Deep Artificial Neural Network
Authors: Siti Nur Atiqah Halimi  , Mohd Azizi Abdul Rahman  , Mohd Hatta Mohammed Ariff  , Nurulakmar Abu Husain  , Wira Jazair Yahya  , Khairil Anwar Abu Kassim  , Mohd Azman Abas  , Syed Zaini Putra Syed Yusoff
Published: September 2023

Those in authority are evaluating the test evaluation for threat assessments currently in place. Since people often depend on their feelings and moods, this may create inequality. Therefore, this study suggested applying deep learning for Autonomous Emergency Steering (AES) and Autonomous Emergency Braking (AEB) assessments in the safety rating protocol. The suggested method for the test in situation-based threat assessments is a monocular distance estimation-based approach. The camera's objective is to make it simple to conduct assessments using only an onboard dash camera. This study proposes a method based on a monocular distance estimation-based approach for test methodology in the situational-based threat assessments using deep learning for the AES system to complement the AEB system for active safety features. Then, the accuracy of the distance estimation models has validated with the ground truth distances from the KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) dataset. Thus, the output of this study can contribute to the methodological base for further understanding of drivers the following behaviour with a long-term goal of reducing rear-end collisions.
Developing an Artificial Intelligence Based Model for Autism Spectrum Disorder Detection in Children
Authors: Chitta Hrudaya Neeharika  , Yeklur Mohammed Riyazuddin
Published: September 2023

Sensory difficulties, such as an over or under responsiveness to noises, smells, or touch, are frequently present in individuals with Autism Spectrum Disease (ASD), a neurodevelopmental disorder. The condition's primary cause is hereditary, however early diagnosis and therapy can assist. Traditional clinical procedures may be expensive and time consuming, but in current history, deep learning based sophisticated diagnosis has emerged to supplement them. The goal of this study is to streamline the diagnostic procedure by identifying the most important characteristics and automating them using existing classification methods. We have looked at datasets including toddlers, kids, teens, and adults with autism spectrum disorder. To find the highest performing classification and feature set for these four ASD datasets, we compared state-of-the-art categorization and feature selection methods. Across datasets of toddlers, kids, teens, and adults, our experiments reveal that the multilayer perceptron (MLP) classifier achieves 100% accuracy with the fewest possible features. We also determine that the proposed feature selection approach ranks the most important characteristics the highest across all four ASD datasets.
Improving Hardware Trojan Detection Coverage by Utilizing Features at Different Abstraction Levels
Authors: Hau Sim Choo  , Chia Yee Ooi  , Nordinah Ismail  , Michiko Inoue  , Chee Hoo Kok
Published: September 2023

In this paper, we introduced a solution to improve hardware Trojan (HT) detection coverage by analyzing features at different abstraction levels. We demonstrated our solution with a supervised classification of HT branching statement (BS) in register-transfer-level (RTL) description. The proposed classifier was trained with a double-abstraction-level feature vector consisting of features extracted at RTL and gate level (GL). In the experiment, we evaluated the HT detection coverage of the trained classifier by applying them on 24 self-designed HT circuits. The proposed classifier achieved the highest 87.5% HT detection coverage with 81.25% true positive rate (TPR), 88.44% true negative rate (TNR), and 88.24% accuracy (ACC). The result proved that the double-abstraction-level feature vector outperformed the single-abstraction-level feature vector with a higher HT detection coverage.
MODELING OF A DIGITAL COMMUNICATION SYSTEM WITH INTERFERENCE-RESISTANT CODING OVER DELAYED MULTIPATH CHANNELS FOR A FIXED WIRELESS ACCESS SYSTEM
Authors: Seksembayeva Manara , Tashatov Nurlan , Ovechkin Gennady , Satybaldina Dina , Seitkulov Yerzhan
Published: September 2023

In this study, an analysis of the performance of a digital communication system was conducted to improve the efficiency of the communication channel. The system was de- signed and evaluated in the MatLab/Simulink environment, specifically for the transmission of binary data in a multipath channel with static fading. One of the main advantages of this system is its ability to provide high noise immunity, even in the presence of noise, interference, and signal delays. The performance of the system was investigated in terms of bit error rate (BER) over both an additive white Gaussian noise (AWGN) channel and a multipath Rayleigh fading channel. The study also considered the impact of inter-symbol interference (ISI) and explored different parameters for a static channel, resembling a wireless LAN system based on IEEE 802.11 (as defined by Rec ITU-R M.1225). This study uses a solution to suppress inter-symbol interference using cascading coding (convolutional turbo codes with Reed Solo- mon code), Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT), amplifiers at the transmitter side and normalizer at the receiver side, by regulating the amplification ratios of transmitter and receiver sides. Modeling of a digital communication system for a wide-band fixed wireless LAN system (for Indoor office and Outdoor to indoor systems) has been performed. The modeling outcomes show that the applied method provides a good per- formance improvement in channels with ISI with static fading.

The application of cascading coding (turbo code together with RS code), amplifiers, and FFT on the transmitter side, and IFFT on the receiver side will eliminate the effects of inter-symbol interference on digital signals in a multipath channel with static fading (as defined by Rec. ITU-R M.1225 for internal and external transmission systems) for wireless fixed systems.
Morphological and phenological variation in the floral morphs of Opuntia streptacantha (Cactaceae)
Authors: Manzanarez-Villasana Gerardo , Mandujano Maria
Published: September 2023

Background and aims – Opuntia s.s. (Cactaceae) is one of the most diverse genera, with approximately 200 species, as species have great morphological and anatomical variation, which have caused a high adaptive plasticity in the species, reflected in the intra- and interspecific variability. Our study system was Opuntia streptacantha Lem., which has two floral morphs: yellow and orange. The objective was to determine if there were morphological differences in the reproductive and vegetative structures between floral morphs.

Material and methods – Statistical tests were performed to determine if there were differences in morphological structures (8 cladodes structures (n= 20 cladodes for each floral morph) and 17 flowers structures (n= 30 flowers for each floral morph) and multivariate models of principal and discriminant components. Also, reproductive phenology was registered for both floral morphs to describe the phenophases of each (n=10 individuals for each floral morph).

Key results and conclusion – We found that floral morphs of O. streptacantha showed significant differences mostly associated with the flowers. The principal component analysis revealed seven components that explain 80% of the total variation, some individuals of O. tomentosa were classified as floral morphs of O. streptacantha, not having a clear separation between the species. The phenology of the floral morphs showed a slight lag in their peak flowering and fruiting. Very high floral synchrony was found for each floral morph and between them. The modifications found in the flowers of O. streptacantha may be associated with a possible hybridization with O. tomentosa favoring the appearance of both floral morphs.
First mitochondrial genomes of the crane fly tribe Elephantomyiini (Diptera, Tipuloidea, Limoniidae): comparative analysis and phylogenetic implications
Authors: Kang Zehui , Xu Yuanyuan , Wang Guoquan , Yang Ding , Zhang Xiao
Published: September 2023

Limoniidae, the most speciose family in the superfamily Tipuloidea, consists of four subfamilies and more than 11,000 species. However, mitochondrial (mt) genome sequences, which have been widely used for phylogenetic study, are available for only 11 species across three subfamilies. Thus, a larger variety of mt genome sequences in Limoniidae are required to improve our understanding of tipuloid phylogeny and genomic evolution. Here we present mt genomes of Elephantomyia (Elephantomyia) inulta Alexander, 1938 and Helius (Helius) pluto Alexander, 1932, representing the first mt genomes of the tribe Elephantomyiini (Limoniidae). The two mt genomes are typical circular DNA molecules and show similar gene order, nucleotide composition and codon usage. Standard ATN start and TAR stop codons are present in most protein-coding genes. All transfer RNA (tRNA) genes exhibited the cloverleaf secondary structure typical for metazoans except in tRNASer(AGN), which lacks the dihydrouridine arm. Phylogenetic analyses were performed based on four nucleotide matrixes for the currently sequenced species of Tipuloidea using Bayesian inference and maximum likelihood methods. Four-cluster likelihood mapping was used to study incongruent signals between different topologies. Pediciidae is supported as the earliest lineage in Tipuloidea, and the sister-group relationship between Cylindrotomidae and Tipulidae is also supported, but the monophyly of Limoniidae is not supported. Our study also supports the monophyly of Elephantomyiini (Elephantomyia + Helius), as one of origins of flower-visiting in Limoniidae. Although Elephantomyiini is sister to Limoniinae + Epiphragma (Limnophilinae) in our study, a more precise understanding of its phylogenetic position in Tipuloidea will require additional studies that include a broader species sample.
The Global Biodata Coalition: Towards a sustainable biodata infrastructure
Authors: Cook Chuck , Cochrane Guy
Published: September 2023

Progress in life and biomedical sciences depends absolutely on biodata resources—databases comprising biological data and services around those databases. Supporting scientists in data operations and spanning management, analysis and publication of newly generated data and access to pre-existing reference data, these biodata resources together comprise a critical infrastructure for life science and biomedical research. Familiar scientific infrastructures—for example the Conseil Européen pour la Recherche Nucléaire (CERN) or the Square Kilometer Array, are distinct, constructed, physical entities that are centrally funded and managed at one or more identifiable locations. By contrast, the primary infrastructure of the life sciences—comprised of databases and other biological data resources—is globally distributed, virtually connected, funded from multiple sources, and is not managed as a coordinated entity. While this configuration supports innovation, it lends itself poorly to the long-term sustainability of individual biodata resources and of the infrastructure as a whole. The Global Biodata Coalition (GBC) brings together life science research funding organisations that recognise these challenges and acknowledge the threat that the lack of sustainability poses. They agree to work together to find ways to improve sustainability.

In the presentation, we will provide an overview of the global biodata resource infrastructure, focusing in particular on challenges to providing sustained long-term funding to the resources that comprise the infrastructure. This will provide a global context to other presentations in the session, which focus on biodata resources in Australia.

Covering some of the work that GBC has carried out to understand and classify biodata resources and the entire biodata resource infrastructure, we will outline the Global Core Biodata Resource programme and Inventory project and also introduce the stakeholder consultation processes around approaches to sustainability and open data. Finally, we will lay out the path GBC is taking to engage researchers, informaticians, funding organisations and other stakeholders in moving towards greater sustainability for these critical resources
Mitreola quanruii (Loganiaceae), a new species from a karst region in Guangxi, China
Authors: Hu Renchuan , Liao Xiaowen , Luo Binsheng , Liu Cheng , Nong You , Wu Lei
Published: September 2023

Mitreola quanruii, a new species from Guangxi, China, is described and illustrated in this study. It is morphologically similar to M. liuyanii because of the terete stems, creeping and branched at the base, the leaves which are pilose on both surfaces and the bilobed capsules with two erect horns. The new species can be distinguished from M. liuyanii by its taller habit, up to 20–50 cm tall, its linear leaves, 4–18 × 0.3–1 cm with acuminate apex and 8–10 pairs of lateral veins, its narrowly triangular stipules, its linear bracts, ca. 1.0 cm long and glabrous and its glabrous calyx. Mitreola quanruii is temporarily assessed as data deficient (DD) according to IUCN. The habitat of Mitreola quanruii is extremely fragile. Therefore, this species deserves close attention and protection.
« Reconquête de friches » et assemblages résistants de la terre
Authors: Veitch Amelia
Published: September 2023

Cet article propose d’étudier la mise en œuvre d’une résistance locale de propriétaires fonciers qui est parvenue à faire suspendre un projet de transformation territoriale porteuse d’espoirs multiples. En Bretagne, une région très fortement marquée par un modèle agricole industriel qui subit de vives critiques, l’équipe municipale d’une commune littorale a lancé un projet de « reconquête » de plusieurs centaines de terres agricoles dites « friches ». Les effets espérés étaient divers : relocalisation alimentaire, production biologique pour la restauration collective, création d’emplois, retour d’un paysage bocager. Alors que le projet, largement acclamé, se met en route, il se heurte à une mobilisation inattendue : un groupe constitué de propriétaires des petits terrains agricoles enfrichés se mobilisent et bloquent l’action. Comment leur conception de la terre devient-elle un moteur de résistance ? L’enquête ethnographique auprès des habitant·e·s, propriétaires et pouvoirs publics, a fait émerger la concurrence de relations antagonistes à la terre, qui est assemblée alternativement comme ressource, héritage ou lieu de nature.
Chapitre 6. Le déploiement de la médecine génomique : la place de l’autonomie du patient dans la réutilisation des données génétiques au profit de la recherche
Authors: Feriol Lisa , Rial-Sebbag Emmanuelle
Published: September 2023

La recherche génétique repose aujourd’hui en grande partie sur la réutilisation des données génétiques issues du soin au profit de la recherche. Cette évolution des pratiques emportant une communication de plus en plus marquée entre soin et recherche vient questionner la place accordée au patient regardé comme potentiel participant à la recherche. Afin de favoriser la circulation des données génétiques générées et de permettre leur réutilisation au profit de différentes recherches, le recours au mécanisme de la non-opposition a été largement réaffirmé par le législateur dans la dernière loi de bioéthique du 2 août 2021. Si les raisons conduisant ce dernier à opérer ce glissement du concept de consentement à la non-opposition se légitiment, les conditions de mise en œuvre de ce mécanisme semblent devoir être interrogées afin de s’assurer de l’effectivité de l’équilibre recherché par le législateur entre préservation de l’autonomie de l’individu à l’égard du partage de ses données génétiques et encouragement du développement de la connaissance médicale ; l’un ne devant pas se faire au détriment de l’autre.
Psychologie et marxisme en France ?
Authors: Lépinat Benoit
Published: September 2023

Nous proposons, pour redécouvrir la pensée originale de Lucien Sève sur les rapports entre psychologie et marxisme, de la réinscrire dans un ensemble de traditions de pensées qui ont toutes en commun d’avoir pensé les rapports du psychisme individuel et de ses conditions matérielles et sociales d’émergence. Trois ramifications sont ici proposées : avec la psychologie concrète de Georges Politzer, avec la psychologie historique d’Ignace Meyerson et avec la psychologie génétique d’Henri Wallon.
Le marxisme : une idéologie ?
Authors: Favre Rochex Théo
Published: September 2023

Cet article examine les rapports de la philosophie marxiste et de l’idéologie dans le travail de Lucien Sève. Parti d’une opposition classique entre idéologie et matérialisme historique, Lucien Sève repense ensuite cet antagonisme tout au long de sa vie, allant jusqu’à faire de la philosophie marxiste une idéologie en un sens redéfini. La dernière partie de son œuvre est toutefois marquée par un abandon progressif de ces concepts au profit de l’élaboration d’une nouvelle « pensée-Marx ».
Un texte inédit de Lucien Sève
Authors: Sève Lucien
Published: September 2023

Ce texte inédit de Lucien Sève Rapport sur la classe de philosophie que nous publions a éte écrit en 1950 et conservé par l’Institut des mémoires des éditions contemporaines dans les archives de Louis Althusser où il à été découvert en 2022 par Gérald Mazaud. Dans cette note rédigée à Bruxelles on découvre un tout jeune professeur de philosophe très prometteur.
Compréhension d’autrui, savoir-faire conceptuel et monde social
Authors: Clot-Goudard Rémi
Published: September 2023

En philosophie de l’esprit, la compréhension d’autrui est volontiers présentée comme le fruit d’une activité complexe d’attribution d’états mentaux, ou mindreading . La question centrale est alors celle de savoir comment accéder à l’esprit d’autrui. L’article soutient que cette façon d’aborder le sujet doit être rejetée, au profit d’une élucidation de la compréhension repartant de notre capacité à décrire spontanément ce que fait quelqu’un. Identifier une action apparaît comme l’exercice d’une capacité conceptuelle acquise par l’insertion dans un enchevêtrement de pratiques qui caractérise un monde social. L’examen des conditions de l’apprentissage des concepts jette alors une lumière nouvelle sur le phénomène de l’incompréhension .
De la destructivité au dialogue : explorer les processus inconscients dans les groupes
Authors: Penna Carla , O’Leary Carmen , Abramowicz Rachel
Published: September 2023

À partir des années 1940, le psychanalyste S.H. Foulkes a conçu la Group Analysis c omme une nouvelle épistémologie des relations individu-société. En combinant la psychanalyse et la sociologie et en donnant la priorité à la nature sociale des personnes, Foulkes a permis l’exploration de perspectives intersubjectives et transsubjectives pour la compréhension de la souffrance humaine en lien avec le monde social. Cet article explore, à travers la group analysis classique et contemporaine, comment les analystes du groupe abordent la destructivité, la haine, la régression et la progression des personnes, des groupes et des systèmes sociaux. Pour ce faire, l’article présente le travail en grands groupes qui permet de comprendre les processus primitifs et psychotiques, mais aussi les possibilités de dialogue produites par les interactions dans les groupes. Sous l’angle contemporain, la théorie de l’Incohésion de Hopper met en évidence le rôle des expériences traumatiques dans la vie inconsciente des groupes, fondamental pour comprendre la souffrance personnelle et sociale en relation avec les expressions de destructivité.
The impact of IFRS on earning management activities among French companies
Authors: Tounsi Marwa
Published: September 2023

Cet article étudie l’impact de la divulgation financière sur la gestion des résultats comptables en France. Notre échantillon est composé de 230 sociétés françaises cotées dans l’indice boursier CAC All-Tradable pour deux périodes : pré-IFRS et post-IFRS. Notre étude s’appuie sur différentes méthodes empiriques : les données de panel ainsi que le test non-paramétrique de Wilcoxon. L’objectif de l’étude est de mettre en évidence l’impact de l’adoption des IFRS sur la pertinence de la valeur des bénéfices ainsi que sur les chiffres comptables. De plus, en utilisant des données de panel ainsi que le test t, nous avons examiné l’impact de l’adoption des IFRS sur la gestion des résultats comptables par les accruals. À la suite de nos résultats nous démontrons que l’adoption des normes IFRS a un impact négatif sur la gestion des résultats comptables par les régularisations.
Un cadre d’autorégulation pour l’éthique de L’IA : opportunités et défis
Authors: John-Mathews Jean-Marie
Published: September 2023

Nous proposons un outil d’autorégulation pour la conception d’IA qui intègre des mesures sociétales telles que l’équité, l’interprétabilité et la confidentialité. Pour ce faire, nous créons une interface qui permet aux praticiens de l’IA (experts en mégadonnées/ data scientists ) de choisir visuellement l’algorithme d’apprentissage (Machine Learning/ML) qui correspond le mieux aux préférences éthiques des concepteurs d’IA. En utilisant une méthodologie de conception en design science (science du design), nous testons l’artefact sur des data scientists et montrons que l’interface est facile à utiliser, permet de mieux comprendre les enjeux éthiques de l’IA, génère des débats, rend les algorithmes plus éthiques et est opérationnelle pour la prise de décision. Notre première contribution est de construire un outil de régulation de l’IA qui intègre non seulement les préférences éthiques des utilisateurs, mais aussi les singularités du cas pratique appris par l’algorithme. La méthode est indépendante des cas d’utilisation et des procédures d’apprentissage ML. Notre deuxième contribution est de montrer que les data scientists peuvent choisir librement de sacrifier certaines performances pour atteindre des algorithmes plus éthiques, à condition d’utiliser des outils réglementaires appropriés. Nous fournissons ensuite les conditions dans lesquelles cette approche technique et autorégulatrice peut échouer. Cet article montre comment il est possible de combler le fossé entre les théories et les pratiques en matière d’éthique de l’IA à l’aide d’outils flexibles qui prennent en compte les singularités des cas pratiques.
On a common fixed point theorem in vector-valued $ b $-metric spaces: Its consequences and application
Authors: Nazam Muhammad , Hussain Aftab , Asiri Asim
Published: September 2023

We introduce a Ćirić type contraction principle in a vector-valued $ b $-metric space that generalizes Perov's contraction principle. We investigate the possible conditions on the mappings $ W, E:G\rightarrow G $ ($ G $ is a non-empty set), for which these mappings admit a unique common fixed point in $ G $ subject to a nonlinear operator $ {\bf F}:\mathbb{P}^{m} \rightarrow \mathbb{R}^{m} $. We illustrate the hypothesis of our findings with examples. We consider an infectious disease model represented by the system of delay integro-differential equations and apply the obtained fixed point theorem to show the existence of a solution to this model.