bluuebunny/crossref_metadata_2025 huggingface dataset:
HÁBITOS ALIMENTARIOS DE KINOSTERNON HERRERAI STEJNEGER 1925 (TESTUDINES: KINOSTERNIDAE) EN EL CENTRO DE VERACRUZ; MÉXICO
Authors: Aguirre León Gustavo , Aquino Cruz Otto
Published: June 2022

La alimentación de Kinosternon herrerai fue estudiada de octubre de 1999 a septiembre de 2000 en el extremo sur de su distribución geográfica, en arroyos cercanos a la ciudad de Xalapa, Veracruz. Por medio de lavado estomacal se obtuvieron contenidos estomacales (n= 48) de tortugas adultas capturadas de forma manual y en trampas con cebo. Los valores estacionales de frecuencia de ocurrencia, frecuencia numérica y volumen en porcentaje de 21 categorías de alimento encontradas en los estómagos mostraron que K. herrerai consumió en orden de importancia crustáceos decápodos (Procambarus sp.), materia animal mixta, materia vegetal mixta, anuros adultos (Eleutherodactylus sp. Rana sp. y Bufo marinus), frutos de Ficus sp., larvas de odonatos y larvas de anuros. Estas tortugas son omnívoras, sin embargo tanto las hembras (92% vs. 52%) como los machos (85.7% vs. 52.4%) ingirieron categorías de alimento animal en mayor proporción que las categorías de alimento vegetal. Kinosternon herrerai presenta un patrón alimentario generalista a través de todas las estaciones del año, y una respuesta oportunista en el consumo de algunas categorías de alimento, como los huevos de anuros. Los valores de diversidad trófica de los dos sexos fueron variables entre estaciones del año (índice de diversidad de Herrera: 2.77 a 16.65 en hembras y 3.3 a 15.24 en machos), sin embargo, las hembras muestran especialización temporal en la dieta durante el verano y los machos durante la primavera y el invierno, cuando la diversidad trófica fue menor para cada sexo. La semejanza de la dieta entre hembras y machos (índice simplificado de Morisita) fue mayor en el verano y el invierno (0.67 y 0.66) y disminuyó en la primavera y el otoño (0.60 y 0.55), lo que sugiere que estacionalmente hay cierto grado de reparto de recursos entre machos y hembras de esta especie.
ESTADO ACTUAL Y RELACIÓN NOMENCLATURAL DE LOS MAMÍFEROS TERRESTRES DE MÉXICO
Authors: Ramírez Pulido José , Arroyo Cabrales Joaquín , Castro Campillo Alondra
Published: June 2022

Teniendo en cuenta los avances metodológicos habidos en los últimos ocho años, se propone la actualización a nivel subespecífico del listado, incluyendo los cambios nomenclaturales que se han producido después de 1996, de los mamíferos terrestres nativos de México (Clase Mammalia). Los cambios taxonómicos que se incluyen, corresponden a la propuesta de nuevos sistemas de clasificación, uno por arriba del nivel de especie y otro para el Orden Chiroptera; descripción de nuevas especies; cambio de estado taxonómico de subgéneros, géneros, subfamilias y familias; secuencia de los diversos órdenes en el sistema de clasificación; separación de componentes de un género; fusión de categorías genéricas; consideraciones de prioridad tanto de nivel genérico como el específico; revalidación de nombres de especies y subespecies; incorporación de especies y subespecies en la sinonimia de otras; y, corrección de la nomenclatura de otras. Las categorías taxonómicas que se mencionan en el trabajo pertenecen a 12 órdenes, 34 familias, 165 géneros (13 endémicos) y 475 especies (169 son endémicas), 204 son monotípicas y 271 politípicas, en donde se agrupan 951 subespecies. Del total de especies, 26 especies son insulares. Sólo se incluye información de los mamíferos terrestres nativos de México; con todo, se hace mención a dos géneros acuáticos Enhydra y Lontra y se excluyen los componentes de los órdenes Cetacea, Pinnipedia y Sirenia.
PSEUDOESCORPIONES (ARACHNIDA: PSEUDOSCORPIONIDA) ASOCIADOS A NIDOS DE RATAS DEL GÉNERO NEOTOMA (MAMMALIA: RODENTIA) DEL ALTIPLANO MEXICANO
Authors: Villegas Guzmán Gabriel A. , Pérez T. M.
Published: June 2022

Se registran 153 ejemplares de once especies de pseudoescorpiones encontradas en 32 nidos de cinco especies del género Neotoma del Altiplano Mexicano. En los nidos de N. albigula se encontró a Tychochernes inflatus, Lustrochernes grossus, Serianus dolosus y Juxtachelifer fructuosus; en los de N. goldmani a T. inflatus; en los de N. micropus a Pachychernes sp. y Chelifer cancroides; en los de N. mexicana a Paraliochthonius sp., Larca chamberlini, S. dolosus, Illinichernes distinctus y T. inflatus; y en los de N. palatina a Cheiridium insperatum y Dinocheirus sp. Se registran a las especies Tychochernes inflatus, Pachychernes sp., Larca chamberlini, Illinichernes distinctus y Cheiridium insperatum como habitantes permanentes de estos microhábitats. La mayoría de los ejemplares (41.2 %) se encontraron en la cámara de reposo. Se colectaron todos los estadios de desarrollo de los pseudoescorpiones, siendo los adultos (39.9 %) el estadio más abundante. Se proporciona una clave para la identificación de las especies registradas.
TOWARDS A CULTURE OF BIODIVERSITY CONSERVATION
Authors: Halffter Gonzalo
Published: June 2022

This article is intended as a synthesis of the ideas, previously presented by the author, on the conservation of biodiversity as well as new proposals, heretofore unpublished. The author focusses on the central theme that in each society the ideas held about the use and the conservation of biodiversity and, in more general terms, about nature are an integral part of the culture of that society, and as such cannot be separated from its ethical and aesthetic values, or from its socio-economic reality. Three broad approaches to the protection and use of species richness are considered: rustic use, the establishment of protected areas and land use policy. Three types of protected areas are examined: hunting or game reserves, national parks and biosphere reserves. These conservation strategies appeared at different points in history in response to different needs and are therefore not mutually exclusive. They share the goal of protecting the exceptional richness of animals and plants within a delimited area. The problems facing these approaches, given the increasing evidence of spatial exchange of species, i.e. beta diversity, are examined. A single area is not enough to protect beta diversity, even when it is a big one. In response to this dilemma a completely new alternative is proposed, one that is complementary to the three currently in use – that of archipelago reserves.
DENSIDAD POBLACIONAL Y CARACTERIZACIÓN DEL HÁBITAT DEL VENADO COLA BLANCA (ODOCOILEUS VIRGINIANUS OAXACENSIS, GOLDMAN Y KELLOG, 1940) EN UN BOSQUE TEMPLADO DE LA SIERRA NORTE DE OAXACA, MÉXICO
Authors: Ortiz Martínez Teresita , Gallina Sonia , Briones Salas Miguel , González Graciela
Published: June 2022

Determinamos la densidad de población del venado cola blanca Odocoileus virginianus oaxacensis y caracterizamos su hábitat en cuatro asociaciones vegetales en un bosque templado de la Sierra Norte de Oaxaca. Usamos el método de conteo de excretas en transectos lineales para obtener la densidad, y el de cuadrantes centrados en puntos para evaluar las variables vegetales y físicas del hábitat de la especie. La densidad promedio en el periodo de junio de 1998 a agosto de 1999 en el área de las cuatro asociaciones vegetales fue de 1.13 ± 1.15 venados/km2. La densidad de venados no presentó diferencia significativa entre las cuatro asociaciones de vegetación (H = 2.737; P = 0.43). Sin embargo, se observaron valores más altos de la densidad (1.73 venados/km2) en relación a las asociaciones de vegetación Abies-Pinus y Quercus-Pinus, en las cuales la cobertura y volumen de arbustos, así como la sinuosidad en el terreno fueron significativamente mayores que en las asociaciones Pinus- Quercus (0.34 venados/km2) y Pinus-Abies (0.71 venados/km2). Los transectos localizados en la asociación vegetal Abies-Pinus se caracterizaron además por presentar un estrato arbóreo denso, diversidad vegetal alta y distancia corta a una fuente de agua permanente (promedio 153 m). Comparando las características de hábitat entre las cuatro asociaciones vegetales, en las asociaciones Abies-Pinus y Quercus-Pinus los venados pueden encontrar mayor disponibilidad de alimento y cobertura de protección horizontal y vertical, además de una topografía favorable para escapar de los depredadores. Sugerimos que diferentes factores como la productividad del bosque afectada por la sequía de 1998, el estrés asociado a los métodos de caza, y las actividades humanas aledañas al bosque templado del área, pudieron tener un efecto agregado sobre la densidad del venado.
CICLO REPRODUCTOR DE SCELOPORUS POINSETTII BAIRD Y GIRARD 1852 (SQUAMATA: PHRYNOSOMATIDAE) EN EL CENTRO DEL DESIERTO CHIHUAHUENSE, MÉXICO
Authors: Gadsden Héctor , Rodríguez Romero Felipe De Jesús , Méndez de La Cruz Fausto R. , Gil Martínez Rosalina
Published: June 2022

Se determinó el ciclo reproductor de una población de la lagartija vivípara Sceloporus poinsettii Baird y Girard 1852 utilizando datos obtenidos de individuos capturados en el campo en la Reserva de Biosfera de Mapimí, México. Entre 1993 y 1994 fueron colectadas muestras mensuales de esta especie de cerros rocosos. Las hembras comenzaron la vitelogénesis en el verano tardío, culminando la ovulación durante diciembre. Las hembras están preñadas a través de los meses del invierno y paren durante la primavera en mayo o al principio de junio. La media del tamaño de camada fue de 6.3 crías. Los neonatos de ambos sexos se encuentran nacidos al principio del verano. Los machos exhiben la reactivación testicular durante el final del verano y el máximo Índice Somático/Testicular ocurre durante el otoño en octubre y noviembre. Este estudio se suma a los datos que indican que la actividad reproductora en otoño es la estrategia reproductora común entre las lagartijas vivíparas del género Sceloporus.
DIVERSIDAD Y DISTRIBUCIÓN DE ANFIBIOS DEL ESTADO DE MORELOS, MÉXICO
Authors: Castro-Franco Rubén , Vergara García Gustavo G. , Bustos Zagal María Guadalupe , Mena Arizmendi Wendy
Published: June 2022

Se aporta una lista actualizada de treinta y ocho especies de anfibios, construida a partir de datos históricos, complementados con salidas de campo y consulta de colecciones. Todos los registros están respaldados por especimenes de museo. Los géneros con el mayor número de especies son Bufo, Hyla y Rana. Se registra por primera vez a Bufo compactilis, Hyalinobatrachium fleischmanni, Rana maculata y Rana vaillanti. Las zonas de cultivo y de selva baja caducifolia, en la región centro sur de Morelos, son los ambientes con mayor número de especies; similarmente la diversidad (H’) más alta ocurre en la selva baja caducifolia. La anfibiofauna se distribuye en dos grandes ensambles, uno muy diverso que vive en zonas bajas subtropicales, y otro menos diverso que vive en zonas altas y frías.
PSEUDOESCORPIONES FORÉTICOS DE ROEDORES EN MÉXICO
Authors: Villegas-Guzman Gabriel A. , Hernández-Betancourt Silvia
Published: June 2022

We report on new hosts and new localities of pseudoscorpions of the genus Epichernes Muchmore, 1982. The three known species of this genus have been found on rodents of the family Heteromyidae. This is the first time that E. aztecus Hentschel, 1982, has been collected on Liomys irroratus Gary, 1868, and L. pictus Thomas, 1893, from the states of Nuevo Leon and Durango, respectively. We found E. navarroi Muchmore, 1990, on Heteromys gaumeri Allen, 1897, in Yucatan; this is a new locality for this pseudoscorpion previously known only from Quintana Roo on the same rodent species.
ESTRUCTURA POBLACIONAL Y PROPORCIÓN DE SEXOS DEL CAIMÁN (CAIMAN CROCODILUS) EN EL RÍO SIERPE, COSTA RICA
Authors: Escobedo Galván Armando H. , González-Maya José F.
Published: June 2022

Knowledge of demographic aspects of caimans and crocodiles is a very important issue for their conservation. A study was carried out in the Sierpe River, in the South Pacific of Costa Rica, from July 2004 through March 2005, comprising both rainy and dry seasons. Nocturnal visual surveys were conducted using shining flashlights; all the individuals were captured, measured and sexed, using a four ranges classification. During the eight surveys, a total of 58 individuals were captured, 65.51% belonging to class II, and 31.03% to class III. Important human explotation has been documented for this population. Differences in male/female ratio and the capture numbers in the study area can be explained by the migration of individuals.
Comportamiento alimentario de monos aulladores negros (Alouatta pigra Lawrence, Cebidae) en hábitat fragmentado en Balancán, Tabasco, México
Authors: Pozo-Montuy Gilberto , Serio-Silva Juan Carlos
Published: June 2022

Se informa sobre el comportamiento alimentario del mono aullador negro (Alouatta pigra Lawrence) durante un ciclo anual (Febrero 2002 a Enero 2003) en un remanente boscoso de 0.164 ha rodeado de potrero en la Ranchería Leona Vicario, Balancán, Tabasco, México. La presente investigación se constituye como el primer estudio sistemático para el estado de Tabasco sobre la dieta de esta especie. Mediante el método Animal Focal, se registraron observaciones conductuales (n= 499 h) de las actividades de una tropa de A. pigra (n= 9; 3 MA, 2 HA, 2 J, 2 In), de las cuales el 19.6 % (96 h 55 min) fueron dedicadas a la alimentación. En el área de estudio se registró el consumo de 15 spp. (55.5 %) de un total de 27 especies de plantas presentes en el área de estudio. El número de especies usadas por mes variaron desde 5 a 12 con un promedio de 9 especies. Las hojas jóvenes y los frutos maduros fueron las partes vegetales principales en la dieta de los monos aulladores y los porcentajes de uso fueron 70.8 % y 11.4 % respectivamente. Entre las diferentes especies de plantas consumidas por los aulladores, se mostró preferencia (X2= 25060, p>0.001, gl. =14) por algunas que se presentaban poco abundantes en el sitio de estudio (p.e. Andira inermes con 0.007 ind/ha). Bajo estas condiciones de perturbación, el consumo de diferentes especies vegetales, así como de sus diferentes partes a lo largo del año indica que los monos aulladores negros poseen una gran flexibilidad alimenticia que les ha permitido sobrevivir en el área de estudio. Sin embargo, se presenta como un reto el investigar la viabilidad poblacional de la especie en años futuros.
An annotated Checklist of some Orthopteroid insects of Mapimi Biosphere reserve (Chihuahuan desert), Mexico
Authors: Rivera García Eduardo
Published: June 2022

La fauna de ortopteroideos en la Reserva de la Biosfera Mapimí (RBM), está formada por un total de 60 especies. El suborden Caelifera está representado por 39 especies de la superfamilia Acridoidea, repartidas en: 13 especies de Gomphocerinae, 10 de Oedipodinae, 9 Melanoplinae, dos Cyrthacantacridinae, una Ommatolampinae y una Leptysminae y la familia Romaleidae con tres especies. El suborden Ensifera está representado por 15 especies repartidas entre las superfamilias Tettigoniidae (8 especies), Tettigonoidea (una), Stenopelmatoidea (una), Grylloidea (cuatro) y Gryllotalpoidea (una). Además, se registraron seis especies de Phasmatodea y Dyctioptera. En la RBM, los Acridoidea son el grupo más abundante y conspicuo de insectos herbívoros, entre los que se distinguen tres formas de vida o «guilds»: 1) Los que habitan en el suelo (terrícolas) representados por la especie más común Trimerotropis pallidipennis (Burmeister 1883) y por Cibolacris parviceps (Walker 1870), que viven y se desarrollan principalmente en el suelo, son herbívoros generalistas que tienden a habitar en tipos de suelo específicos. 2) Los que habitan en hierbas y zacates (graminicolas) de los cuales Paropomala virgata Brunner 1899 y Opeia obscura (Thomas 1872) son las más comunes, se registraron frecuentes disparos de población de Boopedon nubilum (Say 1825), estas especies viven y se alimentan de gramíneas y no tienen hospederos específicos. 3) Los que habitan en arbustos (arbustícolas) grupo morfológica, conductual y tróficamente distinto a los anteriores, algunas especies muestran una alta especificidad alimenticia o de hábitat como Bootettix argentatus Brunner 1889, Ligurotettix planum (Brunner 1905), Hesperotettix viridis (Thomas 1872), Campylacantha olivacea (Scudder 1875) y Clematodes larreae Cockerell, 1901. La composición de especies y las densidades de población en los distintos ensamblajes de acridoideos, muestran gran variabilidad interanual, varían considerablemente entre unidades de vegetación y ambiente, dependen principalmente de las condiciones del suelo, de los atributos taxonómicos y estructura física de la vegetación y del clima.
Nuevo registro de forcipomyia (Pterobosca) incubans (Macfie) (Diptera: Ceratopogonidae) como parásito de Odonata
Authors: Huerta Herón
Published: June 2022

This is the first record of Forcipomyia (Pterobosca) incubans (Macfie) on Dythemis sterilis Hagen (Libellulidae, Odonata) from Veracruz State, Mexico.
ACTIVITY PATTERNS OF JAGUAR, PUMA AND THEIR POTENTIAL PREY IN SAN LUIS POTOSI, MEXICO
Authors: Hernández-SaintMartín Anuar D. , Rosas-Rosas Octavio C. , Palacio-Núñez Jorge , Tarango-Arámbula Luis A. , Clemente-Sánchez Fernando , Hoogesteijn Almira L.
Published: June 2022

El jaguar (Panthera onca) y el puma (Puma concolor) en México son especies simpátricas y presentan similitud ecológica. El entendimiento de las interacciones interespecíficas entre estas especies es importante para la elaboración de estrategias efectivas de conservación. Se estudiaron los patrones de actividad del jaguar, el puma y sus presas potenciales, a través del análisis de las fotografías obtenidas en cuatro temporadas de foto-trampeo en la Reserva de la Biosfera Sierra del Abra-Tanchipa (RBSAT), San Luis Potosí, México. Se describieron los patrones de actividad de 12 especies de fauna, el grado de sobreposición en la actividad del jaguar y el puma; y su relación con la actividad de sus presas. Ambos felinos presentaron actividad catemeral con traslape en sus patrones de actividad. La actividad del jaguar está relacionada significativamente con la actividad de ocho especies de presas; la actividad del puma no se relacionó con la actividad de ninguna presa. Los picos de actividad de ambos felinos sugieren que la separación temporal es una estrategia para minimizar los de encuentros interespecíficos que permite la coexistencia de varios individuos en reservas pequeñas.
FIRST REPORT OF RINAMBA PLATYFEMUR (MARSH) (HYMENOPTERA: BRACONIDAE) IN MEXICO
Authors: Cauich-Kumul Roger , Delfín-González Hugo , López-Martínez Víctor
Published: June 2022

The braconid wasp Rinamba platyfemur (Marsh) (Hymenoptera: Braconidae) is reported for first time for Mexico;Yucatan Peninsula its northernmost distribution record.
Dimorfismo sexual y ciclo reproductor de Sceloporus horridus (Wiegmann 1939) (Sauria:Phrynosomatidae)
Authors: Valencia-Limón Edward Roberto , Castro-Franco Rubén , Bustos Zagal María Guadalupe
Published: June 2022

Se estudió el dimorfismo sexual y el ciclo de reproducción de una población de Sceloporus horridus horridus en un ambiente de selva baja caducifolia en el centro de México. Los machos con una longitud hocico-cloaca de 90.66 mm (71.5-111.0) son significativamente más grandes que las hembras con 86.32 mm (71.0-101.0). La actividad reproductora en ambos sexos es de tipo estacional y ocurre en el período primavera-verano como ha sido observado en varias especies de lagartijas ovíparas de ambientes de selva baja caducifolia. La vitelogénesis ocurre entre marzo y abril, y la espermatogénesis de febrero a marzo. Las hembras ovulan a fines de abril y tienen huevos en los oviductos de mayo a julio. El peso promedio de los huevos fue 0.46 g (0.3-0.6) y el tamaño promedio de la nidada 15.3 huevos (10-20). El tamaño de la nidada tuvo relación positiva con el peso (r = 0.669) y la condición física de lashembras (r = 0.676). La masa relativa de la nidada tuvo un valor de 0.31 y es congruente con las predicciones para especies que tienen una conducta de forrajeo pasivo. El inicio de la actividad reproductora, y los valores más altos en la masa testicular tuvieron una relación positiva con la temperatura (r = 0.508) y en las hembras la masa gonadal se relacionó positivamente con la precipitación (r = 0.775). La masa del hígado y cuerpo graso en hembras y machos, tuvieron una relación inversa con los picos de mayor actividad reproductora.
The implementation of reality counseling to overcome students’ isolated behavior
Authors: Zuhara Evi , Mahdayani Mahdayani
Published: June 2022

Individuals who are identified with an isolated behavior tend to have inferior behavior that they may have difficulty to socialize properly and adapt to their group. T eenagers with this behavior also tend to interact passively by showing a lack of engagement with other people. This study aims to examine reality counseling to overcome the isolated behavior in teen students. This study used a One Group Pretest-Postest design of experiment, involving 10th grader students as many as 5 out of 53 students. Students were given a Likert Scale questionnaire before and after the treatment of the reality counseling. The result shows that reality counseling had a contribution to the improvement of the isolated behavior. The average score increases by 30.400 in pretest and post-test results, from 91.00 to 122.00. This study reveals that reality counseling could be used to overcome students’ isolated behavior. This means students show an increase in social interest in every aspect, such as inferior students trying to interact with other people and build self-confidence, domineering students start to change their perception by not comparing their ability to someone’s ability. In additon, selfish students were able to control their emotion and students who like to be alone could try to get along with their friends.
A review on family caregiving challenges in Malaysia
Authors: Chan Siaw Leng , Matsah Nurul Syahmah Binti , Yusuf Aidatul Ashya Binti , Khaidir Anis Syahmina Binti Mohd , Hamdan Nur Haiza Binti , Kamizi Zayti Nurallya Binti
Published: June 2022

Family caregiving often involves family members, relatives, and partners with whom the patients have a personal relationship to assist the care. The roles of caregivers are extensive and require a lot of effort, time, and commitment. These demands might possibly affect the life of caregivers. This paper aims to identify how family caregiving in Malaysia might have jeopardized the caregiver's life. A systematic approach analysis was utilized in this study while including seventeen articles. The exclusion criteria were articles published in reputable journals containing the research topic with the keywords “burden”, “finance”, and “stress”. The focus of the study was on the impact, mental health status, quality of life, and burden related to caregivers in Malaysia. The articles were categorized into four themes: mental health status, impact, quality of life, and burden towards family caregiving in Malaysia. The results showed that in the theme of mental health status, caregivers experienced significant stress and one of the factors is the family's lack of knowledge in dealing with stress. Meanwhile, in terms of impact, the results indicated that caregivers experienced negative impacts on their emotions and health. In the quality of life theme, the results presented that family caregiving had a positive impact on increasing bonding between patients and caregivers. The results also showed that caregivers experienced burdens related to financial issues and lack of social support. This study recommends mental health professionals provide support, knowledge, and training for caregivers to maintain their psychological well-being.
Finding Primary Care—Repurposing Physician Registration Data to Generate a Regionally Accurate List of Primary Care Clinics: Development and Validation of an Open-Source Algorithm
Authors: Cooper Ian R , Lindsay Cameron , Fraser Keaton , Hill Tiffany T , Siu Andrew , Fletcher Sarah , Klimas Jan , Hamilton Michee-Ana , Frazer Amanda D , Humphrys Elka , Koepke Kira , Hedden Lindsay , Price Morgan , McCracken Rita K
Published: June 2022

Background

Some Canadians have limited access to longitudinal primary care, despite its known advantages for population health. Current initiatives to transform primary care aim to increase access to team-based primary care clinics. However, many regions lack a reliable method to enumerate clinics, limiting estimates of clinical capacity and ongoing access gaps. A region-based complete clinic list is needed to effectively describe clinic characteristics and to compare primary care outcomes at the clinic level.

Objective

The objective of this study is to show how publicly available data sources, including the provincial physician license registry, can be used to generate a verifiable, region-wide list of primary care clinics in British Columbia, Canada, using a process named the Clinic List Algorithm (CLA).

Methods

The CLA has 10 steps: (1) collect data sets, (2) develop clinic inclusion and exclusion criteria, (3) process data sets, (4) consolidate data sets, (5) transform from list of physicians to initial list of clinics, (6) add additional metadata, (7) create working lists, (8) verify working lists, (9) consolidate working lists, and (10) adjust processing steps based on learnings.

Results

The College of Physicians and Surgeons of British Columbia Registry contained 13,726 physicians, at 2915 unique addresses, 6942 (50.58%) of whom were family physicians (FPs) licensed to practice in British Columbia. The CLA identified 1239 addresses where primary care was delivered by 4262 (61.39%) FPs. Of the included addresses, 84.50% (n=1047) were in urban locations, and there was a median of 2 (IQR 2-4, range 1-23) FPs at each unique address.

Conclusions

The CLA provides a region-wide description of primary care clinics that improves on simple counts of primary care providers or self-report lists. It identifies the number and location of primary care clinics and excludes primary care providers who are likely not providing community-based primary care. Such information may be useful for estimates of capacity of primary care, as well as for policy planning and research in regions engaged in primary care evaluation or transformation.
Delivering an mHealth Adherence Support Intervention for Patients With HIV: Mixed Methods Process Evaluation of the Philippines Connect for Life Study
Authors: O'Connor Cara , Leyritana Katerina , Doyle Aoife M , Birdthistle Isolde , Lewis James J , Gill Randeep , Salvaña Edsel Maurice
Published: June 2022

Background

The Philippines HIV epidemic is one of the fastest growing epidemics globally, and infections among men who have sex with men are increasing at an alarming rate. Connect for Life Philippines is a mobile health (mHealth) intervention that supports antiretroviral therapy (ART) adherence in this key population through individualized voice calls and SMS text messages.

Objective

The objective of this process evaluation is to assess the intervention reach, dose delivered and received, fidelity, and acceptability and to describe contextual factors affecting the implementation of an mHealth adherence support intervention for patients on ART in a clinic in Metro Manila, Philippines.

Methods

A mixed methods process evaluation approach was used in an observational cohort study. Quantitative data sources for the process evaluation were call and SMS text message logs obtained from the mHealth platform and questionnaires collected at 12-, 24-, and 48-week study visits. Qualitative data were collected from process reports and through a series of focus group discussions conducted with a subset of participants during the intervention development phase, after an initial 8-week pilot phase, and at the end of the study.

Results

The 462 study participants received 31,095 interactive voice calls and 8234 SMS text messages during the study. Owing to technical issues, intervention fidelity was low, with only 22.1% (102/462) of the participants receiving reminders via voice calls and others (360/462, 77.9%) receiving only SMS text messages during the intervention. After 48 weeks in the study, 63.5% (293/462) of the participants reported that they would be quite likely or very likely to recommend the program to a friend, and 53.8% (249/462) of the participants reported that they benefited quite a bit or very much from the intervention. Participants who were on ART for <6 months at the beginning of the study and those who received the daily or weekly pill reminders were more likely to report that they benefited from the intervention (P=.02 and P=.01, respectively).

Conclusions

The Connect for Life intervention had high participant satisfaction and acceptability, especially among those who received high dose of the intervention. However, poor reliability of local telecommunication networks had a large impact on the intervention’s usability, fidelity, and dose received.
A Review on Experimental Investigation of the Effect of Pervious Concrete by Various Shape and Sizes of Aggregate
Authors: Ansari Md. Shamshad Hussain , Patel Mahesh Ram
Published: June 2022

Abstract: A mixture of concrete and a water level of 0.51. Normally flowing concrete has little or no aggregate and has just enough cement to cover the coarse particles while maintaining the voids. In this paper the effects of aggression combined on concrete compression strength and PC stiffness, cubes were studied using experiments. The coarse aggregate shape used by the flaky is a penetrating effect but also reduces the power of the PC. cubes tossed using standard size, 20-10mm, 10-4.75mm green stones, pebbles and standard collections. It is well known that different types of mixing produce different levels of performance when applied to concrete mixes of given mixes and water / cement ratios. Flaky is a term used for flat and thin aggregates in terms of their width and height. Weak ratings will reduce the performance of the concrete mix and may affect long-term durability. Three compounds of PCs were prepared in different types of composites [stone, angular and stone]. The study concluded that the integrated type has a significant impact on PC properties. And finally review some of the exploratory methods currently being developed to find a continuous concrete and summarize the research methods under consideration.
Fuel-less Move able Portable Power Generator with Remote
Authors: Srinivasan Ramesh
Published: June 2022

Abstract: Certain people belongs to geological survey department spent their most of time in jungles, deserts and see shores for surveying Surface mapping, ores and minerals exploration, costal environment survey, etc. they are assigned with countless jobs, in this regard they are away from their homes for weeks together and roaming in out doors.While surveying near to their temporary camps, they can carry this system for lighting purpose or for some other reason. They need not carry the system in their hands, since the system is having motorized wheels, and with the help of a remote. Since all electrical appliances like fans, drill motors, lights, etc are designed to operate at 220v ac at 50Hz same source is generated through inverter designed with PWM chip. PWM IC is used to generate 50Hz ac pulses and its output is used to drive the step up transformer through power mosfets. The drive stage is configured in push-pull mode of operation such that power losses can be minimized and inverter efficiency can be increased. Remote control unit is designed with RF modules and it is operated using encoder and decoder chips.The idea is to generate conventional energy using non-conventional sources of energy.
Design and Analysis of Power Generating Speed Breaker
Authors: Topiwala Murtaza
Published: June 2022

Abstract: Energy is the primary need for the survival of all organisms in the universe. Everything that happens in the surrounding area is the expression of the flow of energy in one of the forms but in this fast-moving world population is increasing day by day and conventional energy sources are decreasing. The extensive use of energy resulted in the energy crisis in a few years. Therefore to overcome this problem we need to implement the techniques of optimal utilisation of conventional sources for the conservation of energy. This project includes how to utilise the energy which is wasted when the vehicle passes over the speed breaker. There are four mechanisms to generate electricity through speed breakers via, Rack and Pinion mechanism, etc.
Object Detection Technique Using a Fast R-CNN Based Technique
Authors: Dutta Amlan
Published: June 2022

Abstract: Object detection stands as the current interest in locating the objects. Reducing the run time of the algorithms holds a challenge in this field. Deep Convolutional Neural Network (CNN) like SPPnet, Fast R-CNN etc. had been effectively proposed to reduce the execution time. Encouraged by these networks, a Region Program Network (RPN) has been proposed here to portray features of images with less computational cost and time. This network is capable of predicting the bounds of an object and generates scores at each position. In the proposed network, Fast R-CNN is also integrated with RPN so that exceptional region programs can be generated, and entire network can easily understand which area should be focused. The proposed network has been tested on MS COCO, PASCAL VOC 2007, 2012 datasets. Results infer that the proposed RPN along with Fast R-CNN outperforms some popular models like deep VGG-16 [3], ImageNet, YOLO etc. in terms of all the accuracy parameters.
A Deep Convolution Neural Network for Detection Covid-19 and Pneumonia Based on the Xception and Resnet50v2 Algorithm
Authors: Kondu Kaushik , Prerana A. , Sailaja K. Naga
Published: June 2022

Abstract: COVID-19 or Corona Virus Disease – 19 is a very critical and life taking disease. As of today, the virus has taken 62, 00, 000 over lives. Since its first public discovery on a wider scale many Scientists and researchers have built the system and methodologies for predicting the infection or detecting the damage done by the infection. A few of the many ways of determining the COVID-19 infection is by analyzing the X-ray images of the Chest. Due to a huge number of people being affected by this virus, it would take a lot of time to and difficulty to cross-check number of X-ray images, otherwise it could be done easily by developing an Artificial Intelligence network which does the job by itself. In the paper, our team have done training couple of Deep Convolutional Networks with a couple of training techniques for classifying X-ray images into three categories: normal, pneumonia, and COVID-19, based on two open- source datasets. We also classify whether the patient has pneumonia or COVID-19, as there is only a slight difference between them, due to which it becomes little tricky to confirm whether the patient has pneumonia or COVID-19. To overcome this problem, we are classifying whether it is pneumonia or COVID-19 or just a regular flu. In this paper, we bring forward a couple of training algorithms that help the network to learn quick and in an effective approach when the dataset is unbalanced and our team proposes a new network which is a concatenation of two algorithms, Xception and ResNet50V2 networks. The proposed network has achieved the accuracy by analyzing several features employed by the two networks. Our team has tested this network on 11180 images to generate the real accuracy the network is achieving in actual time. The average accuracy of the proposed network for detecting the cases of COVID-19 to be 99.56 and the overall accuracy for all categories to be 91.4.
Deep Learning based Handwritten Polynomial Equation Solver
Authors: K Vedavathi , Swapna A
Published: June 2022

Abstract: Polynomials are algebraic expressions involving a sum of powers in one or more variables multiplied by its coefficients. If x is a variable, a0x n +a1x n-1 +a2x n-2 +....+an then it's a (n) powers polynomial. Human is capable to solve this type of mathematical problems. In this work, we propose a system in which machines can achieve the cognitional skills that can understand the problem by visual context. By taking an input image of Handwritten polynomial equations and simplifies the problem by generating the answer as an output. Here machine can able to solve quadratic, cubic, quartic, quantic, sextic as well as (n) powers polynomials. This proposed work can be workable in an embedded system as well as a mobile application. In this scope for recognition purposes, we use a CNN model. Robust handwritten character recognition is a tricky job in the area of image processing. Among all the problem handwritten mathematical expression recognition is one of the complicated issue in the area of computer vision research. Segmentation and classification of specific character makes the task more difficult. In this paper a group of handwritten quadratic equation as well as a single quadratic equation are considered to recognize and make a solution for those equations. Horizontal compact projection analysis and combined connected component analysis methods are used for segmentation. For classification of specific character we apply Convolutional Neural Network. Each of the correct detection, character string operation is used for the solution of the equation. The proposed workflow system automatically simplifies the Handwritten polynomial equation and has been done a really good performance. Developing an automatic equation recognizer and solver has been a desire of the researchers who worked in the field of NLP for many years.
Real Time Face Mask Detection using Yolov5 and OpenCv
Authors: Shetty Rakshit Umesh
Published: June 2022

Abstract: COVID-19 cases have been a big threat to human mankind with different variants found worldwide infecting many people alike. The whole world struggled through different waves of coronavirus and is struggling to reduce the spread effectively. The use of mitigation and suppression was practised throughout and it was concluded use of suppression couldn’t come without economic downfall for long term. With results fromChina and South Korea it was clear that use of masks helped reduce spread within social gatherings ,to ensure everyone wears a mask is one thing and to wear a mask properly covering their nose and mouth fully leaving no part exposed was other problem to tackle. This paper attempts to develop effective yet simple approach to monitor real time data of people wearing masks. The main aim of this project is to help identify and monitor gatheringin public places where wearing mask is essential as it takes a week to show symptoms and anyone can get infected, results show if two individuals are wearing a mask the risk of virus spreading is at its lowest. This model successfully recognizes ifany individual is wearing face mask or not and also determinesif the face mask covers nose and mouth only then it recognizesit as an masked individual.
IVA for Visually Impaired People Using Raspberry PI
Authors: Shankar Mr. S. Ohm
Published: June 2022

Abstract: Disability is a condition in which a person must rely on others for their basic needs. One of a person's limitations is a visual impairment. To date, a number of ways for improving the lives of visually impaired and blind persons have been proposed. Purchasing groceries in the store without the assistance of others remains a difficult task for them. We offer a camera-based assistive text reading system that can help blind persons read text labels and product packaging on common objects. We rest present an ancient and active motion-based way to define a region of interest (ROI) in the video by requesting the user to shake the object to isolate it from cluttered backdrops or other surrounding objects in the camera view. Audio guidance based on realtime situations will aid them inside the supermarket. The ultimate goal of this system is to eliminate all other forms of assistance for visually impaired shoppers and to give them with a convenient and sophisticated environment. When this method is implemented, it makes shopping easier for blind people, saves time for customers, and increases business sales. We look at user interface difficulties and evaluate the algorithm's ability to extract and read text from objects with complex backgrounds. In this Shopping trolley technology to identify the product placed due to machine learning and accuracy location
Brain Tumor Image Classification using CNN
Authors: Pol Jay
Published: June 2022

Abstract: We present a method for segmenting and categorizing brain tumors in the challenge of content of brain tumor with segmentation is enrolled and skull is exposed for bar graph equivalent high-level contradiction refer amount. Preprocessing, segmentation, feature extraction, optimization, and classification are used to detect tumors. The tissue is then classified using preprocessed images. We utilized leave-one-out cross-validation to generate a Dice overlap of 88 for the whole tumor area, 75 for the core tumor region, and 95 for the enhancing tumor region, which is higher than the Dice overlap reported
GSM Based Motor Control System with Water Level Monitoring
Authors: Ashray Korukanti , Poornoday Kavali , Manideep Yeravelli , Rao T. Venkata
Published: June 2022

Abstract: Agriculture is the backbone of India's economy. In the eyes of the villagers, the agricultural sector is highly significant. The key factor that determines the productivity of agricultural fields is water supply. Irrigation is a technical procedure that involves artificially delivering water to cultivated land or soil. Irrigating the land with an agriculture motor involves pumping groundwater to the surface. This concept makes farming easier for farmers by allowing them to manage their field's Motor from their mobile devices. A Control system, according to a wise scientist, is a system that will enable us to shut down the machine at any time. That is the distinction between a machine that is controlled and one that is not. It is the goal of our project to make this control system more efficient and dynamic. The automatic control, as the name implies, is used to regulate the Motor from a remote location, monitor its working parameters, and get input from the Motor itself. Our goal is to control the Motor from afar using a mobile DTMF tone and receive feedback via SMS when it is on or off. These feedbacks are also sent to us by SMS. Because the GSM network is available everywhere in our country, we decided to use it to control our Motor and send feedback. We also use the GSM network because it eliminates the requirement for additional networking equipment. We utilize a GSM modem at the motor end to transmit feedback signals, and we generate control signals using mobile DTMF because it is very simple to generate DTMF using a mobile station and send feedback SMS using a modem. In the industrial sector, we expect that our project will be useful and cost-effective in operating motors.
Hybrid Frequency and Period Based for Angular Speed Measurement of DC Motor Using Kalman Filter
Authors: Setyawan Novendra , Cahyadi Basri Noor , Hakim Ermanu Azizul , Achmadiah Mas Nurul
Published: June 2022

The Incremental Rotary Encoder have been widely used to measure the angular speed of electrical drive such as Permanent Magnet Direct Current Motor (PMDCM). Nevertheless, speed measurement of PMDCM from the encoder signals can be subject to errors in some special condition such as in low resolution encoder. There are two main methods to measure the angular speed of PMDCM through encoder signal such as frequency-based and period-based wich has its own properties. Hence in this reseach aimed to improve the angular speed measurement with hybridization of frequency and period-based measurement. The Hybrid method is defined as paralleling the period and frequency then estimated the angular speed using sensor fusion with Kalman Filter. The experiment is doing by comparing of all method to get the best way in measuring. From the experimental showed that the Kalman filter parameter was fine tuned that resulting the sensor fusion or the mixed measurement between the frequency-based and the period based measure the angular speed accurately.
MINING SOCIAL MEDIA CROWD TRENDS FROM THAI TEXT POSTS AND COMMENTS
Authors: Thanasopon Bundit , Buranapanitkij Jirawin , Netisopakul Ponrudee
Published: June 2022

Text mining from social media stream has attracted wide interests from both businesses and academics. Very large numbers of self-posts from crowd sources contains hidden trends, which can be valuable to a business enterprise. Crowd trend mining methods, together with an easily understood visual presentation, are thus in great demand. We present an approach to mining crowd trends from Thai text posts. A Thai language preprocessing module was necessary to transform continuous text into series of words. Our method could then mine general unforeseen crowd trends by using an automatic context extraction technique, tf-idf score and an aggregated opinion score calculated from automatically classified sentiments for each post or comment. The best sentiment classifier was chosen based on extensive experiments on the same data source. These scores were combined into one unified term popularity which was visualized as a word cloud on a web application. A case study used a popular Thai discussion website - Pantip.com - and achieved three interwoven desired goals: (1) extraction of general and unforeseen crowd trends from a Thai discussion website, (2) assigning unified popularity scores to each candidate term and (3) presenting those terms to end users in an easily comprehended form.
FACEBOOK USER REACTIONS AND EMOTION: AN ANALYSIS OF THEIR RELATIONSHIPS AMONG THE ONLINE DIABETES COMMUNITY
Authors: Balakrishnan Vimala , Govindan Vithyatheri , Arshad Noreen Izza , Shuib Liyana , Cachia Ernest
Published: June 2022

With the advent of Web 2.0 technologies such as social media, online text sources provide large scale data repositories out of which valuable knowledge about human emotions can be derived. This paper aims to (i) detect and classify emotions of the Facebook diabetes community, (ii) examine the relationship of emotion and Facebook reactions, and (iii) identify user reaction predictors for each of the emotion. A total of 15K posts were randomly selected from several official Facebook diabetes support groups. Pre-processing was administered, resulting in 2475 Facebook posts for further analysis in this study. Emotion detection was first administered using Indico API, with results revealing anger, sadness and fear to be the top most emotions experienced, whilst love and wow emerged as the highest-ranking reactions. Precision and recall indicate the performance of the emotion detection mechanism ranged between 65 – 82% for all the emotions, compared to the human annotation. The average F-score recorded was 78%. Both love and wow were found to significantly predict joy and fear, whereas angry was found to predict anger. The findings indicate that human emotions can be effectively detected based on users’ textual communication, and significant relationships exists between several reactions and emotions.
FUZZY ENCODER FRAMEWORK FOR FOUR LAYERS COLOR QR CODE
Authors: Badawi Bakri , Mohd Aris Teh Noranis , Mustapha Norwati , Manshor Noridayu
Published: June 2022

QR code is a popular type of two-dimension barcode due to high demand of QR code which makes it an active research area specifically to overcome QR code limitation. One of QR code limitation is encoding data size limitation. In this paper, we proposed four layers QR code encoder utilizing fuzzy technique to overcome size limitation. The framework extended the maximum capacity for three layers color QR code by 25%. The fuzzy encoder will select the best-fit color QR code in the aspect of the number of colors according to the file size and the space on paper. Then, the encoder will divide the file into a maximum of four layers of a black and white QR code and give each layer a specific color by color multiplexing for those QR codes. We produced a color QR code with a maximum capacity of four times larger than existing black and white QR code. The encoder also proposed color reference on the locator pattern in the QR code to easily identify the number of colors used in the generated color QR code.