bluuebunny/crossref_metadata_2025 huggingface dataset:
El hacendado y el gaúcho: sexualidad y figuras políticas en El Salvador y Rio Grande do Sul
Authors: Arévalo Amaral
Published: June 2023

El otrora acto político de hombres gay de “salir del armario” ha dado paso a un proceso de despolitización de la enunciación de la orientación sexual cuando es realizada por hombres blancos, masculinos, burgueses y ubicados en el abanico de la derecha política. Este texto tiene como objetivo analizar las narrativas de entrevistas en que las figuras políticas de Johnny Wright Sol de El Salvador y Eduardo Leite de Rio Grande do Sul, Brasil, constataron públicamente su orientación sexual. Por medio de la utilización de la categoría analítica de sujetos tácitos se discute el proceso de despolitización del acto de constatación de la orientación sexual a nivel público de las figuras anteriores. En el caso de estudio, la constatación de la orientación sexual fue por motivos diferentes, pánico moral en el caso salvadoreño y estrategia política en el caso gaúcho. Los tratamientos diferentes a un mismo fenómeno es un reflejo de los contextos culturales y sociopolíticos de El Salvador y Brasil.
La Unión Europea y su actuación en el golpe de Estado de Bolivia en 2019
Authors: Telleria Escobar Loreta
Published: June 2023

La Unión Europea jugó un rol preponderante en el golpe de Estado en Bolivia de noviembre de 2019. Esto se vio reflejado en una sucesión de acciones encabezadas por su representante, León de la Torre, no solo en la fase previa a las elecciones del 20 de octubre, sino durante el mismo proceso desestabilizador, al formar parte de una comisión que viabilizó una sucesión presidencial a todas luces inconstitucional. Una vez consolidado el golpe, esta delegación internacional dio un amplio respaldo político y económico al gobierno de facto, a pesar de los informes técnicos que cuestionaban el argumento de fraude instalado por la OEA y el gobierno de Estados Unidos, las graves violaciones de derechos humanos reconocidos por instituciones internacionales y las transgresiones a principios básicos del derecho internacional.
Análisis de la influencia de la institucionalización del género en la transversalización del género en las respuestas estatales a la pandemia por COVID-19
Authors: Tecú Ernestina , Osorio Figueroa Cristian David
Published: June 2023

Las desigualdades entre géneros se encrudecieron durante la pandemia por COVID-19. Los Mecanismos para el Adelanto de las Mujeres (MAM), por medio de la transversalización de la perspectiva de género en las políticas de respuesta a la pandemia, tenían la capacidad de reducir las inequidades y mitigar el daño de la crisis social. Sin embargo, la capacidad de los MAM para transversalizar el género, discutimos, está fuertemente influenciada por las trayectorias de institucionalización del género en los países. Por tanto, en este estudio analizamos la institucionalización del género en Guatemala, Costa Rica y El Salvador; para asociarlo con la capacidad de los MAM para incidir en el ciclo de formulación de políticas y la gestión gubernamental de la pandemia durante el 2020. Concluimos que los países con instituciones consolidadas consiguieron mayor transversalidad del género en las políticas, reduciendo inequidades entre géneros.
Gino Germani y la Ficha 39 : garabatos en torno a “su” marxismo
Authors: Giller Diego
Published: June 2023

A comienzos de la década del sesenta del siglo pasado, Gino Germani redactó una ficha de investigación destinada a la enseñanza de sociología en la Universidad de Buenos Aires. La llamada “Ficha 39” se tituló “El marxismo y la ‘idea de proceso histórico’”. Este texto olvidado, que no ha sido revisitado por los lectores de su obra, podría llegar a desarmar las interpretaciones canónicas que han hecho de Germani un sociólogo desatento a la corriente fundada por Marx. En función de esa hipótesis, el presente trabajo busca indagar las razones por las cuales Germani se encuentra con el marxismo, intentando descubrir de qué modo lo interpreta y qué efectos pudo tener ese encuentro al momento de elaborar su teoría sociológica de la modernización. En rigor, no se trata de ver cuál es el marxismo de Germani, sino qué es Germani después de su encuentro con él.
Hubungan Kualitas Pelayanan Apotek Rawat Inap Rs TKIV Dr R. Ismoyo Kendari Terhadap Tingkat Keputusan Pasien
Authors: Ahmar Sadli Bill , Tasman  , Ridwan Bai Athur
Published: June 2023

Pelayanan farmasi merupakan salah satu pelayanan kesehatan di Indonesia yang dituntut berubah orientasi dari drug oriented menjadi patient oriented. Kegiatan pelayanan farmasi yang semula berfokus pada pengelolaan obat sebagai komoditi harus diubah menjadi pelayanan yang komprehensif dan bertujuan untuk meningkatkan kualitas hidup pasien. Penelitian ini bertujuan untuk mengetahui hubungan kualitas pelayanan apotek rawat inap RS TK. IV Dr.R. Ismoyo Kendari terhadap tingkat kepuasan pasien. Jenis ini adalah penelitian kuantitatif dengan menggunakan desain penelitian cross sectional. Jumlah populasi penelitian ini adalah 76 orang, metode yang digunakan yaitu simple random sampling. Metode analisis menggunakan distribusi frekuensi, Chi squere dan Koefisien Phi. Hasil penelitian ada hubungan antara keadaan fisik dengan kepatuhan berobat pasien di Instalasi rawat inap RS TK. IV Dr. R. Ismoyo Kendari. Ada hubungan antara ketanggapan dengan kepatuhan berobat pasien di Instalasi rawat inap RS TK. IV Dr. R. Ismoyo Kendari. Ada hubungan antara kehandalan dengan kepatuhan berobat pasien di Instalasi rawat inap RS TK. IV Dr. R. Ismoyo Kendari. Ada hubungan antara jaminan dengan kepatuhan berobat pasien di Instalasi rawat inap RS TK IV Dr. R. Ismoyo Kendari. Ada hubungan antara peduli dengan kepatuhan berobat pasien di Instalasi rawat inap RS TK IV Dr. R. Ismoyo Kendari. sebaiknya pihak rumah sakit bagian farmasi perlu meningkatkan pelatihan-pelatihan guna untuk meningkatkan kualitas pelayanan dan kinerja SDM nya sesuai standart SOP (Standart Operasional Prosedur) yang telah ditetrapkan pihak rumah sakit. Juga lebih ditingkatkan kualitas pelayanan terutama pada dimensi responsivinees/ketanggapan yaitu dengan lebih meningkatkan rasa kepedulian dan mau mendengarkan keluhan-keluhan yang disampaikan pasien pada saat membeli obat agar pasien merasa nyaman dalam menyampaikan keluhan-keluhan tersebut
Perbandingan Kadar Total Fenolik dan Flavonoid Ekstrak Etanol Daun, batang, dan Akar Kirinyuh (Chromolaena odorata L.) dengan Menggunakan Metode Spektrofotometri UV-Vis
Authors: Tommy Muhammad , Putra Pratama Nofran , Purnomo Sari Kurnia Rahayu
Published: June 2023

Kirinyuh merupakan gulma yang hidup di daerah tropis maupun subtropis. Tanaman tersebut memiliki kandungan senyawa bioaktif utama seperti alkaloid, saponin, fenolik, tanin, steroid dan flavonoid. Penelitian sebelumnya dilakukan uji eksperimen terkait kandungan senyawa bioaktif pada bagian daunnya saja, sedangkan pada bagian batang dan akar masih sangat sedikit. Tujuan penelitian yaitu mengetahui kadar total fenolik dan flavonoid dalam ekstrak etanol daun, batang, dan akar Kirinyuh serta mengetahui bagian mana yang memiliki kandungan senyawa bioaktif terbesar. Metode penelitian ini dilakukan secara kuantitatif menggunakan metode eksperimental di laboratorium. Masing-masing bagian Kirinyuh dimaserasi menggunakan pelarut etanol 70%. Hasil maserasi yang didapatkan yaitu berupa filtrat, lalu diuapkan sampai menjadi ekstrak kental. Perhitungan jumlah kadar total fenolik dan flavonoid dilakukan dengan mensubstitusikan nilai absorbansi sampel ke dalam hasil regresi kurva baku asam galat dan kuersetin yang diperoleh menggunakan metode spektrofotometri UV-Vis. Hasil nilai kadar total fenolik dihitung %b/b sebagai nilai GAE dan flavonoid dihitung %b/b sebagai nilai QE ekstrak etanol Kirinyuh dengan metode spektrofotometri UV-Vis adalah daun sebesar 44,970 ± 3,725 %b/b dan 38,306 ± 0,195 %b/b, batang sebesar 20,403 ± 4,002 %b/b dan 3,959 ± 1,891%b/b, dan akar 21,381 ± 28,824 %b/b dan 3,289 ± 3,943 %b/b. Nilai kadar total fenolik dan flavonoid terbanyak berada pada bagian daun sebesar 44,970 ± 3,725 %b/b dan 38,306 ± 0,195 %b/b.
Studi In Silico Senyawa Dari Saffron (Crocus sativus L.) Terhadap Reseptor Glikogen Sintase Kinase-3 Beta (GSK-3β) Sebagai Antidiabetes
Authors: Afriana Dian , Dewi Citra
Published: June 2023

Saffron (Crocus sativus L.) merupakan tanaman dari genus iridaceae yang memiliki kandungan senyawa flavonoid, terpenoid, serta karotenoid yang diketahui berpotensi untuk menjadi kandidat antidiabetes. Dalam hal ini Glikogen Sintase Kinase-3 Beta (GSK-3β) merupakan protein kinase yang mempengaruhi jalur pensinyalan insulin sehingga menyebabkan resistensi insulin. Tujuan penelitian ini ialah untuk mengetahui interaksi molekuler senyawa dari saffron terhadap reseptor GSK-3β sebagai antidiabetes. Metode penelitian yang digunakan yaitu in silico melalui penambatan molekul (molecular docking) pada reseptor GSK-3β dengan kode PDB: 4PTE dan senyawa dari saffron dengan menggunakan software Autodock vina dan visualisasi menggunakan BIOVIA discovery studio 2019. Hasil yang diperoleh terdapat 9 senyawa yang memiliki afinitas lebih baik dari ligan alami dimulai dari rentang nilai -9 kkal/mol sampai -11,5 kkal/mol. dan didukung dengan kemiripan interaksi asam amino ≥50% dengan senyawa terbaik yaitu kaempferol-7-O-glucosidem memiliki kemiripan interaksi dengan ligan alami sebesar 85%. Hal  ini menunjukkan bahwa senyawa dari saffron dapat menjadi kandidat obat antidiabetes
Pengaruh Pemberian Fraksi Daun Jati terhadap Profil Kadar Glikogen Hati dan Otot Tikus Putih DM Tipe II
Authors: Anwar Irvan , Idrus Loly Subhiaty , Nurul Jannah Sitti Raodah , Nuralifah
Published: June 2023

Diabetes Melitus (DM) adalah penyakit yang disebabkan oleh ketidakseimbangan asupan insulin sehingga menyebabkan glukosa tidak dapat diubah menjadi glikogen. Tectona grandis Linn F. atau daun jati secara empiris digunakan oleh masyarakat untuk pengobatan dan diketahui memiliki aktivitas sebagai antidiabetes. Penelitian ini bertujuan untuk mengetahui profil kada glikogen dalam hati dan otot tikus putih jantan model DM tipe II setelah pemberian fraksi n-heksan, kloroform, dan etil asetat daun jati. Penelitian dilakukan dnegan menggunakan Post Test Only with control group design dan pengujian kadar menggunakan metode spektrofotomteri. Hasil penelitian menunjukkan kadar glikogen hati hewan uji pada kelompok kontrol normal (Kn), kontrol positif (K+), kontrol negatif (K-), kelompok fraksi n-heksana (K1), fraksi kloroform (K2), dan fraksi etil asetat (K3) dengan dosis masing-masing 300 mg/kgBB berturut-turut yaitu 41,24; 46,14; 34,67; 43,00; 46,85; dan 52,70 µg/100mg sampel hati serta kadar glikogen otot masing-masing kelompok berturut-turut yaitu 24,82; 26,62; 19,51; 13,88; 15,43; dan 20,05 µg/100mg sampel otot. Berdasarkan hasil penelitian dapat disimpulkan bahwa fraksi terbaik yang dapat meningkatkan kadar glikogen hati dan otot hewan uji yaitu fraksi etil asetat dengan dosis 300 mg/kgBB.
Sports Apparel Warm and Cool Touch Effusivity Spectrums Based on Human Perception
Authors: Sokolowski Susan , Karolidis Emily , Hakimian Arya
Published: June 2023

In the sports product industry, technical apparel materials can be developed to be perceived warm or cool to the human touch. Those created for warm touch are typically for cold environments - generating warmth for athlete comfort, whereas cool touch materials are developed for hot environments – making the athlete’s skin surface feel cool and fresh. These attributes can be engineered into the face or back side of the material – providing different point-of-purchase and next-to-skin perceptual experiences. The goal of this study was to define warm and cool touch effusivity spectrums that the sports apparel industry can reference when developing new technical materials. The warm and cool touch characteristics of common sports materials were evaluated mechanically with a Modified Transient Plane Source (MTPS) sensor and perceptually with a human subject fingertip test protocol. From the data collected, cool and warm touch effusivity spectrums were determined for face and back material sides. For the face side of the material specimens, subjects’ perception of warmth was at an average effusivity value of 145.9 (+/-23.1), and cool at 182.2 (+/-19.7). For the back side of the specimens, the materials were perceived warm at 138.6 (+/-22.6), and cool at 177.3 (+/-19.3). The results of this study provide sports apparel material developers insight into target effusivity value ranges for athlete warm or cool touch perceptual experiences.
Anticipate, Embrace, and Leverage Ambiguity
Authors: Skaggs Paul
Published: June 2023

In his seminal book, Conceptual Blockbusting, James L. Adams states that an emotional block to creativity is the “inability to tolerate ambiguity . . . an overriding desire for order; and having no appetite for chaos.” Tolerance for ambiguity can be defined as the degree to which an individual is comfortable with uncertainty, unpredictability, conflicting directions, and multiple demands. Industrial designers work in ambiguous environments. Unfortunately, modern organizations are ordered around the principle of doing things that are efficient, repeatable, and reliable...the fundamental problem with trying to be creative is that it’s none of those things. Higher education is a modern organization that does not encourage students to develop a tolerance for ambiguity but strives to eliminate ambiguity from their educational experience. How one deals with uncertainty and the stress of an ambiguous situation is an important consideration in the life, education, and professional practice of industrial designers. An industrial design student with a low tolerance for ambiguity, who is seeking opportunities in the professional world, is bound to feel stress, anxiety, and frustration. This paper defines tolerance for ambiguity to create awareness of its influence on the success of students who are studying industrial design. Recognizing and developing opportunities for students to experience and practice ambiguous situations is important to student’s success as they move from the educational experience into professional life.
Optimization and decision making of design solutions for product development of wickerwork lamps
Authors: Wang Tianxiong , Yang Liu , Gao Xian , Yu Tong , Yu Qiang
Published: June 2023

With the popularity of the concept of sustainable traditional wickerwork, wickerwork lamps have become the most popular craft. When customers purchase wickerwork luminaire products, Kansei consensus has become a key factor influencing the communication between manufacturers and customers. Therefore, this paper establishes a three-level evaluation grid diagram driven by user attractiveness through Miryoku engineering to clarify the key perceptual appeal and design elements. Secondly, to solve the problem of subjectivity and uncertainty in product design solution preference, the design solution evaluation and preference method is proposed. For the key perceptual factors, the gray correlation analysis is used to comprehensively assess the priority order of evaluation indicators. Finally, the Vikor was used to evaluate representative product design solutions to obtain the best ranking of alternatives, and then the best product design solution was selected. The results show that the method takes into account the subjectivity and uncertainty of the decision making process in the selection of design solutions, which can effectively improve the objectivity and accuracy of the solution evaluation results and provide more objective and effective reference suggestions for designers to measure the quality of design results.
AI image generation boosts Kansei engineering design process
Authors: Ishihara Shigekazu , Kuo Rueikai , Ishihara Keiko
Published: June 2023

Methods of Kansei engineering help the design process by surveying users’ latent Kansei, then reflecting it on product and service development and continuous elaborations of them (Nagamachi, 1991, 2012). Through our applications of Kansei engineering to product development, we have learned that there are several common difficulties. 1. Evaluation samples’ lack of variety: products in the market have limitations in design. 2. Everyone is encouraged to participate in the design process with Kansei engineering: non-designers participation greatly contributes to successful products. 3. Designers are few and too busy: designers’ efforts should be reduced and make time to think more innovatively. In this study, to ease these problems, we have applied AI image generators, a recent development of artificial intelligence, to the Kansei engineering design process.Milkcarton Kansei studies result (Ishihara et al., 1996) is the starting point of this study. First, we examine StableDiffusion (Rombach et al. 2021), an image generation artificial intelligence system. StableDiffusion (SD) seems to lack milkcarton’s shape knowledge. Then we made incremental learning of its shape with the “Hypernetworks” framework. A common method to make innovative ideas is borrowing ideas from neighboring areas. Milkcarton in red is quite a few. On the other hand, our Beer can Kansei study (Ishihara, 1998) shows that Red color has strong relation between Kansei of Premium, Gorgeous, Affected, and Showy. Then, we try to apply a red color. The AI-generated “Red flower milkcarton” is nicely designed. Our 1996 study showed that blue has the preferred color for milkcarton. Blue abstract shapes are too often used for it; then people have Kansei as “simple”, “proper” and “monotonous”. In this attempt, we seek a “modern” and “refined” touch to blue and abstract design. The AI-generated design successfully incorporated modern touch to blue-based design. Also, we have tried more novel ideas of “Colorful painting modern milkcarton”. Milkcartons have different colors and have been implicitly or explicitly intended for “Juvenile” and “Tender” Kansei. This trial also adds modern touch, and novel designs are obtained. Finally, “Jackson Pollock painting milkcarton” was examined. The result reflects his abstract painting in the 1940s, before his invention of “drop painting”.In its long-year quest for Kansei engineering, KE methodology shows its stimulating role of innovative and problem-solving design. This study challenged the use of cutting-edge AI technology to boost more innovative designs. Along with AI technology extends, further methods for boosting innovative creation interacting with humans.
A method for product form design based on user perceptual imagination and product modeling constraints
Authors: Zhu Tianlu , Li Yajun , Wu Ceng-Juan , Zhang Zhizheng , Ge Yu-Hui
Published: June 2023

To solve the difficulties in obtaining user requirements and establishing objective and effective product modeling constraints in product design , A research model of design method based on user perceptual imagination and product modeling constraints was constructed. Firstly, based on the collection of user information, the KJ method is used to obtain the accurate perceptual cognition of users about the product. To address the problem of strong subjectivity of data acquisition in the process of user imagery cognition research, on the basis of user perceptual cognition, the product perceptual imagery semantics is targeted to obtain user perceptual demand information.Then, the user data and the user perceptions obtained from the interviews are combined, and the user perceptual needs are derived through filtering. Next, the complex constraint theory is used as a guide to summarize the design constraint problem and establish the product modeling constraints. Finally, by integrating product perceptual imagination and morphological constraints, product design positioning is derived. The method model of this study can accurately derive a product design orientation based on user needs and objective constraints of the product, and improve design effectiveness and accuracy.
EEG assessment of driving cognitive distraction caused by central control information
Authors: Zhao Yan , Yang Xiaonan , Wang Yahui , Wei Wanni , Zuo Heng , Yu Yuan , Zhao Yan
Published: June 2023

This study collected EEG data using a driving simulator and analyzed it using the average spectral power density of EEG features to study the assessment method of cognitive distraction in driving caused by central control information. The results showed that Theta, Beta1 and Beta2 brain waves in the frontal lobe and central region could reflect the driver's cognitive load and cognitive processes. As cognitive difficulty increases, Theta and Beta2 brain waves in the frontal lobe and central region gradually calm down, and Beta1 becomes more active. By recording the driver's EEG signals and analyzing changes in brain waves, the impact of in-vehicle central control system de-sign on driver cognitive distraction can be evaluated. This EEG-based evaluation method can provide a more objective and accurate assessment, providing a scientific basis for optimizing and improving the design.
Towards continuous mental state detection in everyday settings: investigating between-subjects variations in a longitudinal study
Authors: Berkemeier Lea , Kamphuis Wim , De Vries Herman , Brouwer Anne-Marie , Ubbo Van Baardewijk Jan , Schadd Maarten , Oldenhuis Hilbrand , Verdaasdonk Ruud , Van Gemert-Pijnen Lisette
Published: June 2023

Maintaining mental health can be quite challenging, especially when exposed to stressful situations. In many cases, mental health problems are recognized too late to effectively intervene and prevent adverse outcomes. Recent advances in the availability and reliability of wearable technologies offer opportunities for continuously monitoring mental states, which may be used to improve a person’s mental health. Previous studies attempting to detect and predict mental states with different modalities have shown only small to moderate effect sizes. This limited success may be due to the large variability between individuals regarding e.g., ways of coping with stress or behavioral patterns associated with positive or negative feelings. A study was set up for the detection of mental states based on longitudinal wearable and contextual sensing, targeted at investigating between-subjects variations in terms of predictors of mental states and variations in how predictors relate to mental states. At the end of March 2022, 16 PhD candidates from the Netherlands started to participate in the study. Over nine months, we collected data in terms of their daily mental states (valence and arousal), continuous physiological data (Oura ring) and smartphone data (AWARE framework including GPS and smartphone usage). From the raw data, we aggregated daily values for each participant in terms of sleep, physical activity, mental states, phone usage and GPS movement. First results (six months into the study at the time of writing) indicate that almost all participants show a large variability in ratings of daily mental states, which is a prerequisite for predictive modeling. Direction, strength and standard deviations of Spearman correlations between valence, arousal and the different variables suggest that several predictors of valence and arousal are more subject dependent than others. In future analyses, we will test and compare different versions of predictive modeling to highlight the potential of wearable technologies for mental state monitoring and the personalized prediction of the development of mental problems.
Exploring the Role of Visual Attention in Aggressive Behavior: Evidence from Eye-Tracking Measurements
Authors: Calle Alexandra , Margarita Ortega Chasi Patricia , Argudo-Vásconez Andrea , Cobos Martha , Alvarado Omar
Published: June 2023

This study explores the relationship between eye-tracking measurements (fixation count and duration) and aggressive traits. The research involved 60 female and male participants between 12 and 17 years. The standardized questionnaire used to measure aggressive traits was CAPI-A to assess premeditated and impulsive aggression. The sample was divided into two groups based on aggressive traits' presence (n=30) or absence (n=30). The participants were exposed to a validated subset of the OASIS affective images as visual stimuli, using the Gazepoint GP3 device to capture eye-tracking information. The study found that participants with aggressive traits had higher fixation durations and fixation counts on negative stimuli than non-aggressive participants. These findings suggest that aggressiveness may be related to selective attention towards negative stimuli, which may impede a person's ability to perceive positive stimuli in their environment. This study provides insight into potential underlying mechanisms contributing to aggressive behavior in adolescents.
Unlocking Human Potential: The Power of Neural-Interface Technology measuring Cognitive Ability and Traits
Authors: Heilala Janne , Karwowski Waldemar
Published: June 2023

Technoking has recently launched cutting-edge neural-interface technology (Hamilton 2022). This kind of technology has the potential to enhance human performance and safety across a variety of fields. To explore its possibilities, this study has set up measurement situations by pre-registering EEG measurements and established future applications based on neuroergonomic laboratory-based training. Positive system intelligence has been found to enhance performance and reduce stress, and neurofeedback-based adjustment has been shown to increase performance for both athletes and manpower training. To test the effectiveness of this technology, the researchers employed a system integrator's approach from collecting real-time streaming data based on vignettes to measuring cognitive load alleviation via dockers, testing package-based cloud computing interfaces through web technologies. The results of this study demonstrate that system intelligence measures can be used to ignite practical innovation processes and select high-performing manpower, ultimately leading to gains in innovativeness. The study provides a pre-registration analyzing example adaptable case model that can be applied to diverse host platforms and databases in Unix machines. Specifically, it explores the use of system intelligence measures in the context of human resources employment criteria using post-modernity competency assessment for innovative recruitment practices. The study also investigates the main cost of the study and the safety of the equivalence based on the requirements of the environment.
Manual handling in health care sector using kinaesthetic techniques
Authors: Silvetti Alessio , Chini Giorgia , Varrecchia Tiwana , Draicchio Francesco
Published: June 2023

The proper mobilisation of patients affects not only the health of the caregiver but also the patient himself, since it is a critical condition for preventing treatment failure and avoiding strain injuries from pressure and wrong placement.Professional experience, using standardised handling techniques, can be modified using kinaesthetic approach.The kinaesthetic is a self-perception discipline, based on proprioception, that is, the capacity to feel and perceive the posture of the body in space, its movements and muscle contractions, also without visual input. This thecnique applied during positioning and handling presupposes, on the one hand, respect for the functional anatomy of the patient and, on the other hand, the protection of the operator performing the handling.Kinaesthetic can contribute significantly to reducee biomechanical load and to improve healthcare outcomes.By using an optoelectronic system (SMART-DX 6000 System, BTS, Milan, Italy) and 6 spherical reflective markers placed at selected landmarks (c7, bilaterally scapular acromion, sacrum, bilaterally anterior superior iliac spine (Davis, 1991)), the trunk kinematics of a worker was recorded during several patient handling tasks (lateral decubitus, sitted placement, lateral shift, side displacement, downward displacement) with (CNSTTC) and without (CTRL) kinaesthetic. Then, the ranges of motion (RoM) of the trunk in the three planes of space were calculated. Muscular activity coactivity was also recorded through sEMG from the following muscle bilaterally: Erector Spinae, Rectus Abdominis, Rectus Femoris, Biceps Femoris, Anterior Tibialis and Gastrocnemius Medialis. The co-activation index is a parameter that provides the percentage of simultaneous activation during each task of the antagonist muscles of the trunk and leg. It has been shown in previous literature studies how increased co-activation can be disadvantageous for the jointsThe most relevant kinematic results are in the trunk. Trunk flexion is reduced in all the analyzed tasks when using kinaesthetic approach. Otherwise kinematics results showed increased values of RoM for trunk lateral bending in all tasks but sitted placement.About sEMG results showed a decreased co-activation of the trunk muscles in lateral decubitus, sitted placement and side placement. Co-activazion of the legs showed decreased values for lateral shift,, side placement and downward displacement. was substantially unaffected except for lateral decubitus where kinaesthetic showed an increased value of coactivation.These are preliminar results that should be confirmed with a larger sample of experienced workers. Moreover it could be advisable to identify some sub-tasks from each subtasks that might be more noticeable from an ergonomic point of view.
Fixation analysis of affective picture processing in aggressive adolescent
Authors: Pacheco Diana , Argudo-Vásconez Andrea , Margarita Ortega Chasi Patricia , Cobos Martha , Alvarado Omar
Published: June 2023

Aggressiveness is an emotional state associated with physical or verbal violence or destruction towards others or oneself. Aggressive behaviors in adolescents are a frequent reason of consultation in mental health care services because it generates negative consequences in the life of the person and their environment, in addition, it increases the probability of school dropout, psychiatric disorders and substance abuse. The study contemplates the presentation of images with positive valence and images with negative valence of the set IAPS to 60 adolescents who were previously evaluated with CAPI-A test, divided into 30 adolescents with aggression and 30 without aggression. The results were analyzed through an eye tracker and indicate the existence of bias in the visual attention of aggressive adolescents towards negative stimuli, while that non-aggressive adolescents tend to focus on positive stimuli.
Musculoskeletal and work practice survey of chainsaw users in the New Zealand forest industry
Authors: Boocock Mark , Ashby Liz , Parker Richard
Published: June 2023

Forestry is one of the most dangerous occupations globally, and manual work involving the use of chainsaws present a significant health risk to its workers. Over the last 10 years, there have been 810 chainsaw-related incidents reported in the New Zealand (NZ) forest industry. The aim of this study was to undertake a survey of chainsaw operators in NZ to obtain information on the risks associated chainsaw use, the prevalence of self-reported musculoskeletal complaints, and opinions on the safe use and design of chainsaws and corresponding safety equipment. An anonymised, electronic questionnaire survey was distributed to forest companies by forest sector organisations. The questionnaire was divided into three main components: 1) demographics; 2) self-reported musculoskeletal disorders (a modified version of the Nordic musculoskeletal questionnaire); and 3) chainsaw-related accidents, injuries, and work practices. Descriptive statistics and parametric and non-parametric statistical tests were used to compare differences between frequent (used a chainsaw at least 2 or 3 times per week during the last 2 years) and infrequent chainsaw users. Fifty-seven workers responded to the questionnaire, which was considered a low response rate based on the size of the forest industry in NZ. Approximately 47% of respondents had a BMI of >30, classified as ‘obese’ based on the World Health Organisations BMI classification. Low back pain (51%) was the most frequently reported complaint over the last 12 months, followed by shoulders (36.8%), hands/wrists (33.3%) and knees (31.6%). Approximately 65% of all respondents considered their musculoskeletal symptoms were due to work and 60% felt the injury had restricted their normal work activities to some extent. Frequent chainsaw users did report slightly higher prevalence rates of musculoskeletal complaints across most body parts during the last 12 months. The risk factors considered to add to the physical workload and risk of MSD in chainsaw operators were: “bending over all day”; the repetitive nature of the work; the weight of equipment carried in addition to the chainsaw (e.g. first aid kit, safety chaps, fuel cans, oil, wedges); slips, trips and falls when walking between trees; and limited training opportunities for improving techniques and working postures. The high prevalence of work-related musculoskeletal conditions and the multifaceted nature of risk factors presents unique challenges to improving the health status of NZ forest workers. Interventions should consider a range of individual, physical, psychosocial, and work organisational approaches. Beyond modification to work practices, further consideration should be given to educating and promoting a healthy lifestyle among these workers. Frequent chainsaw users do appear to be at increased risk of musculoskeletal complaints. Some caution is needed when interpreting findings from the survey as the estimated overall response rate was considered low.
Empirical Study of Machine Learning for Intelligent Bearing Fault Diagnosis
Authors: Moghadam Armin , Davoudi Kakhki Fatemeh
Published: June 2023

Bearing failure highly impacts performance and production of manufacturing systems, causes safety incidents, and results in casualties and property loss. According to the current literature, bearing faults cause 30-40% of all failures in induction motors. Therefore, identification of bearing faults, at early stages, is crucial to ensure seamless and reliable operation of induction motors in industrial and manufacturing operations. Faults occur in four components of bearing: inner race, outer race, ball, and cage. Regardless of the component in which fault occurs, it causes changes in vibration signals. Therefore, comparing normal signals with faulty ones is helpful in detecting localized faults in bearings. We use a benchmark publicly-available data set to conduct this analysis. The main challenge in using publicly-available benchmark datasets for fault detection is lack of manual for instruction on analysis experiments on the original data, which leaves researchers with the challenge and opportunity of applying various analytical methods for achieving higher accuracy rates and useful models for fault detection. This study presents a machine learning-based fault detection and classification scheme in induction motors to evaluate the significance and effects of various data preparation and feature extraction methods on accuracy and reliability of fault detection outcomes. The data preparation stage includes discussion of efficient data dimension reduction, and noise eradication, as well as feature extraction methods for induction motor signals. The main methodology is developing a variety of machine learning classifiers for detection and classification of normal bearings versus faulty bearings. Finally, the implications of the methodology and results for early fault diagnosis and enhanced reliability, as well as maintenance planning efforts in manufacturing systems are discussed. This study introduces proper implementation of machine learning models to improve system performance with higher speed and reliability. Furthermore, the methodology and results contribute to planning and undertaking maintenance operation more efficiently. Therefore, the approach, methodology, and results will be beneficial to both researchers and practitioners involved in manufacturing systems reliability analysis and optimization.
Harmonizing the graduate attributes of mechanical and industrial engineering with the Fourth Industrial Revolution needs in automotive production
Authors: Laseinde Timothy
Published: June 2023

Significant global shifts have inundated the production of automotive components over the past few years. To meet global "Sustainable Development Goals," the industry is moving from internal combustion engines to electric vehicles. The fourth industrial revolution has changed the current phase of global manufacturing's competitiveness and can potentially increase competitiveness in the future. Because of this shift, manufacturers of automotive components now need different skill sets. Consequently, a better alignment of graduate attributes with evolving industry demands is necessary to create sustainable job opportunities for industrial and mechanical engineering graduates expected to fill critical roles in the automotive manufacturing industry. This paper presents the findings of an investigation into the engineering programs of higher education institutions within South Africa and how the engineering graduate attributes in the mechanical and industrial programs align with the automotive industry demands. The advent of the Fourth Industrial Revolution has caused significant upheaval in employment stability. Apprentices are being phased out of the workforce and replaced by smart machines. The automobile industry has seen revolutionary changes in its production methods in the last century. Conversely, higher institutions have not implemented major curriculum changes and still practice traditional teaching processes. The technology used in the average classroom has barely changed in the past three to four decades. The study's overarching goal was to create a model that colleges and universities can use to close the skills gaps through curriculum updates that better prepare students for success in the workplace. The automotive sector and academic institutions collaborated on an action research project to develop this framework. A framework emerged from the study aimed at assessing how well higher education institutions meet the needs of industries, and it shows the required measures to remain competitive.
Optimization of Machined Product Quality in The Milling Process of Inconel High-Tech Material
Authors: Tansel Ic Yusuf , Anıl Adıgüzel Zeki , Azizoğlu Baran , Eren Keskin Alparslan , Köksal Minesu , Subutay Özbek Berat
Published: June 2023

Today, Inconel 601 materials are used in special areas and frequently processed in the aerospace industry. Due to the high specific expectation of sectors, the manufacturing quality of Inconel 601 material is crucial. There are some studies in the literature related to the optimization of milling process parameters such as cutting speed, feed rate, and depth of cut to reach high-quality characteristics depending on the quality expectations. We aimed to optimize the surface roughness, manufacturing lead time, and energy consumption that will occur during the milling process of the Inconel 601 workpiece. Spindle speed, depth of cut, and feed rate of the cutting tool parameters and their levels are used as parameters (factors) in the design of the experimental study. Then the ANOVA tables are obtained. Furthermore, regression equations of the quality characteristics are determined. Finally, a multi-response optimization study is proposed to optimize parameter levels considering to achieve the maximum quality level of the machined part.
Analyzing The Effects of Human Resource Allocation and Learning by Experience on Project Management in Defense Industry
Authors: Kececi Baris , Colak Melis
Published: June 2023

Activities that started using various resources and carried out to produce a product or service in a limited time are called projects. Process of delivering the project to an end with plans made to achieve project's goals in desired extent and time is called project management. Successful project management is becoming more important for competing companies. The project manager, who is responsible for execution of one or more projects, gains a lot of experience throughout the process and becomes more knowledgeable and skilled. The main purpose of this study is to reveal the effects of learning with experience and human resources allocation on multi-project management. Survey which is prepared to evaluate the sub-goals under the main purpose is applied online to the project managers who are working in institutions operating in defense industry in Ankara. Data obtained via the survey are analyzed by a statistical software. As a result, it’s found that the current knowledge of employees and their experience have a positive effect on managing projects. It’s been evaluated that there may be disruptions in customer relations and project management when human resource planning is insufficient and it’s important to consider the experience of employees to make allocations.
Collaborative Initiatives: An information-sharing approach in retail drop shipping supply chain
Authors: Laseinde Oluwaseun , Aigbavboa Clinton
Published: June 2023

Retail dropshipping has become increasingly popular due to its ability to reduce inventory holding costs and enhance customer satisfaction. This model involves retailers displaying goods online and sending customer data to producers who ship directly to customers. However, this approach impedes scalability, such as poor communication among supply chain partners and a lack of inventory transparency. This research paper proposes a collaborative initiative that utilizes information sharing to improve the efficiency and effectiveness of the retail dropshipping supply chain. Sharing downstream sales data with upstream partners can significantly enhance inventory visibility, reduce order fulfillment time, and improve communication and coordination among supply chain partners. Indepth literature review was conducted to identify relevant articles and studies on collaboration in the supply chain, information sharing, and dropshipping. The study revealed the potential benefits of collaborative initiatives and emphasized how information sharing can help overcome some of the limitations of the conventional dropshipping model. The research provides valuable insights into collaborative initiatives in the retail dropshipping supply chain and highlights the crucial role of information sharing in enhancing supply chain operations. By adopting joint initiatives, retailers can overcome the constraints of the traditional dropshipping model and increase profitability. Our study offers a framework for retailers and supply chain partners to collaborate effectively and improve the efficiency and effectiveness of their operations.
Barriers to Near Miss Management Systems adoption in the industrial sector: results from an exploratory survey in Italy
Authors: Grazia Gnoni Maria , Tornese Fabiana , Paolo Agnusdei Giulio
Published: June 2023

In industry, the analysis of near miss events can support the improvement of safety on the workplace. Near miss events are usually defined as near accidents, unsafe acts or conditions, that did not cause significant harm to people and goods, but under slightly different circumstances could have turned into accidents. Near miss analysis can help companies to identify possible causes of adverse events and work to prevent future accidents, representing an important source for verifying the effectiveness of the safety management process. The adoption of near miss management systems (NMSs) is mostly diffused in sectors where safety is a crucial issue (e.g., mining, construction, nuclear, aviation, etc.), but it could be an important resource in other contexts as well. The aim of this work is to identify some of the main barriers and drivers for the implementation of NMSs, investigating on one side the reasons that keep companies from adopting NMSs, on the other side the possible actions that could help spreading the use of this tool. The study presents the results of an exploratory survey carried out in collaboration with the Italian National Institute for Insurance against Accidents at Work (INAIL), which included a sample of Italian companies from different sectors. The results presented can help identifying the main criticalities to address to support the diffusion of NMSs.
Anomaly detection of bicep curl using pose estimation
Authors: Wing Frances Wan Ka , Yip Joanne , Hin Alex Mak Ting , Yat Hon Kwan Kenny , Cheung Mei-Chun , Cheng Benson , Lun Yick Kit , Pui Ng Sun
Published: June 2023

Resistance training exercises can cause adverse effects and even injuries if not executed correctly. The latest pose estimation technologies in computer vision could help provide real-time analysis on exercising motion using on-device cameras. However, to identify whether an individual is performing an exercise correctly, postural deviations or anomalies from the correct patterns must be identified. In this study, a versatile solution is formulated to detect and analyze a specific resistance training exercise – bicep curl using BlazePose and binary tree algorithms in machine learning based on specific pose features. Ten decision tree models are developed to identify ten target pose anomalies including deviated trunk angles and misplaced elbows and wrists. The model sensitivity ranges from 73.7% (external rotated shoulders) to 97.4% (over-flexed trunk). These predicted results would be very useful in giving specific postural advises to learners of fitness exercises. Our research outputs could be extended to other exercises, and be implemented in mobile applications for various purposes such as exergames and sports analysis.
Influence of Time Pressure on Driver’s Response Time under Stressed Conditions
Authors: Dey Arka , Das Sanhita
Published: June 2023

The present study attempts to understand the driver’s mental state during driving due to the imposed time pressure and prevailing traffic condition based on heart-related physiological features. A Gaussian mix model-based clustering approach was adopted in this work to classify the developed stress on three distinct levels: low, medium, and high. Further, this study applied a defuzzification methodology to transform the fuzzy representation of probability values for each sample in a crisp dataset to develop a stress index. The developed stress index is crucial for alerting the driver regarding their mental state for avoiding any risky driving behavior under stressed conditions. Finally, the current work proposed a sliding window methodology for determining the response time of the driver to any significant stress level change and investigated the characteristic of the calculated driver-specific response time which will be sensitive to driving duration based on stress level and time pressure condition.