bluuebunny/crossref_metadata_2025 huggingface dataset:
LECTURER TALK IN THE EMI CLASSROOM: A SPEECH ACT ANALYSIS
Authors: Lestari Sri , Mutiaraningrum Ira
Published: March 2024

Research in the area of utilizing English as a medium of instruction hasoverlooked the investigation of communication issues among lecturersteaching their disciplines in English. This study seeks to determine the mostcommon speech act employed by lecturers utilizing English as a medium ofinstruction, the rationale behind the selection, and its implication onpedagogy and education. Employing a case study, we recruited fourinstructors from Biology and Primary Education who teach content-basedsubjects in English. With Searle's framework of speech acts, the studyrevealed that assertive speech acts were used 42.85%, directive 25.8%,expressive 21.65%, and commissive 9.6%. The findings indicate that mostlecturers used assertive speech acts to clarify content and engage studentsin achieving learning objectives. This study expected to give contributionas reflection tool on how speech acts should be performed in teachingprocess to promote successful English utilization by instructors teachingnon-English subjects.
NEGOTIATING IDENTITY: THE AUTHOR’S USE OF CODE-SWITCHING IN THE NOVEL “THE SHELTER
Authors: Restuwati Azhar  , Sutrisno Adi
Published: March 2024

The existence of different languages in a multicultural society is one of the triggering factors for the occurrence of code-switching in both real life and literary works including novels. The objective of this study were to: 1) describe the forms and types of code-switching in Aydan Ahn’s novel “The Shelter”, and 2) describe the author’s intention to negotiate identity through code-switching. The research’s data consisted of a variety of utterances produced by characters that switch between Indonesian and Korean language. The analysis findings revealed that 23 occurrences of code-switching were found in conversations between characters in the novel. Twelve of them were inter-sentential switching, nine were of tag switching, and two were of intra-sentential switching. Speakers aim to accentuate the message the want to convey to their interlocutor, which is why code-switching occurs in the utterances produced by the characters. In addition, speakers also perform code-switching to complete the sentences or clauses they say. Meanwhile, from the writer's point of view, it can be concluded that the author tries to make the story written to be more alive. The code-switching was intended to negotiate the author’s identity through the expressions that expose the author’s cultural background knowledge.
CHALLENGING OBJECTIFICATION THROUGH ALTERNATIVE BEAUTY CONCEPTS IN THE FILM I FEEL PRETTY (2018)
Authors: Zahara Difa Mahya , Nina Farlina
Published: March 2024

Beauty ideals that primarily focus on physical attributes play the role of a cultural milieu in which women are vulnerable to objectification. Such a cultural force gives rise to the importance of investigations on literature, such as films, as a cultural product as well as a cultural shaper in which women are portrayed and represented through their narrative, characters, and more. This study is a qualitative descriptive study on the film I Feel Pretty that applies the feminist theory of objectification. It aims to explore the portrayal of Renee Bennett, the main character, in dealing with objectifying beauty ideals and how such phenomena are challenged in the film. The results found that Renee Bennett experiences objectification by others, self-objectification, and objectifying others under the context of appearance-focused beauty concepts. However, the film challenges such objectifying beauty concepts by introducing alternatives that focus on internal qualities or non-physical attributes, such as self-confidence, intelligence, and health. Thus, the film is a critique towards the existing beauty ideals that glamorize the physique, and it encourages a shift of focus from external to internal qualities that support women’s mobility and well-being.
ROLE OF THE TEACHER IN ACTIVE LEARNING: EFL TEACHERS’ PERCEPTIONS, PRACTICES AND CHALLENGES OF IMPLEMENTATION
Authors: Telore Tesfanesh , Damtew Abebe
Published: March 2024

The current study was mainly aimed at exploring teachers’ perceptions, practices, and challenges of implementing their role in active learning. The total population of the study were 37 English language teachers in Kambata Tembaro Zone, Ethiopia. Data for the study were collected via a questionnaire and focus group discussion. The data collected via a questionnaire were analyzed quantitatively by using statistical package for social science and qualitative method of analysis was applied for the data gathered via focus group discussion. The findings of the study revealed that teachers lack clear understanding of their role in active learning and they were not properly accomplishing it in teaching the English language. Knowledge, skill, and aptitude gaps among teachers and students and unsuitable school environments were reported as major challenges affecting the implementation of active learning. Awareness creation and capacity-building workshops were recommended for the teacher and students to improve the implementation of active learning in secondary schools in Ethiopia.
ILLOCUTIONARY SPEECH ACTS IN THE PRESIDENTIAL SPEECH REGARDING THE RELOCATION OF THE NATIONAL CAPITAL CITY
Authors: Alam Oktavia Surya Nur
Published: March 2024

This study aims to analyze illocutionary speech acts in speeches on the relocation of the national capital. The relocation of the national capital is a new polemic that raises pros and cons among the public. Some people consider the relocation of the capital city to have less urgency, so there is no need to do that. Leaders have an important role in convincing the public of this view. The use of language by politicians in speeches certainly has another goal, namely to convince the audience or the public. This research uses the theory of speech acts by Searle. Searle classifies illocutionary speech acts into five types. That is a declaration, assertive, expressive, directive, and commissive. The method used is the descriptive method. The results obtained from this study are that there are classifications of speech acts. That is, assertive, commissive, directive, and declarative. The results of this study indicate that these speech acts have a role in speech, one of which is to influence many people with our opinions.
EXPLORING LANGUAGE USED OF ENCOURAGEMENT IN THE MENTAL HEALTH CAMPAIGN ON INSTAGRAM: MODALITY MEANINGS
Authors: Yusmaniar Nur Aviva  , Widyastuti
Published: March 2024

Mental health campaigns aim to educate sufferers about the importance of mental health and how to manage it. This study investigated how the functions of language and the meaning of modality were employed in @myselflovesupply's mental health campaign posts. In this study, the descriptive qualitative approach was used to evaluate the data. The data were gathered from the words written in the Instagram posts. According to the findings, the language functions discovered in the mental health campaign consist of conative, emotive, and referential, in accordance with Jakobson's theory. In addition, the use of modality in the mental health campaign by @myselflovesupply is extensive. Examined based on Halliday and Matthiessen's theory, the study found all the data used modality; modalization and modulation obtained the same amount of data, which includes obligation, possibility, usuality, and inclination. Encouragement language in mental health campaigns can motivate and encourage sufferers to find motivation, inspiration, comfort, and aspiration, which are crucial for their mental health. The researchers suggest that exploring multiple mental health campaigns to uncover more complex results beyond what was discovered in this current study would be beneficial in future studies. This would provide additional insights and broaden existing knowledge on this topic.
“GRIEF AND RESILIENCE LIVE TOGETHER”: AN ASSESSMENT OF ARTHUR MILLER’S DEATH OF A SALESMAN
Authors: Yeboah Philomena Ama Okyeso , Otoo Paul , Gyimah Manu James , Freitas Philip Kwame
Published: March 2024

The present study was carried out to assess Mrs. Obama’s assertion, “grief and resilience live together”, in Miller’s tragedy, Death of a Salesman, from the theoretical perspectives of Marxism and Psychoanalysis. Using a qualitative content analysis, the paper finds that even though the protagonist meets his tragic end through his sufferings and disillusion, he displays unparalleled courage, resilience and optimism, as a common man, in a battle with the capitalist society. The paper affirms the afore-said statement and limns the defects of capitalism and its consequences on its victims – more so their psyche and mental state. With this paper, the researchers seek to expose the ills of capitalism and its devastating effects on the working-class members of the society.
Compatibility assessment of the reference frames orbital realizations broadcasted by the global navigation satellite systems with the International terrestrial reference frame (ITRF) during 2020–2023
Authors: Gusev I.V. , Golubitskiy A.M.
Published: March 2024

The compatibility assessment of the terrestrial reference frames orbital realizations broadcasted by the global navigation satellite systems (GPS, GLONASS, Galileo and BeiDou) with the International terrestrial reference frame ITRF during 2020–2023 was performed. The assessment is based on the analysis of daily Helmert transformation parameters determined in the Information and Analysis Center for Positioning, Navigation and Timing of the Central Research Institute for Machine Building within calculating a posteriori ephemeris and time information for each constellation. Based on the daily Helmert transformation parameters, annual reference frames coincidence parameters RSS7 and Λ and their standard deviations StDRSS7 and StDΛ on the monthly, 10-day and daily averaging intervals were computed, characterizing the stability of terrestrial reference frames orbital realizations. The obtained results show the following level of coincidence between the terrestrial reference frames broadcasted by global navigation satellite systems and ITRF
RANCANGAN DAN UJI COBA PELATIHAN RESILIENSI UNTUK MENURUNKAN PSYCHOLOGICAL DISTRESS PADA IBU YANG MEMILIKI ANAK PENDERITA ACUTE LYMPHOBLASTIC LEUKEMIA (ALL)
Authors: Fathurochman R. Fauziah Febrianni
Published: March 2024

The most common types of leukemia (blood cancer) that Indonesia children have are Acute Lymphoblastic Leukemia (ALL) considered to have a high mortality rate. One contributing factor is the inability of parents to adapt to changes in the child's condition on the induction phase of treatment such as nausea, vomiting, fatigue, pain, infection, mucositis (wound on the mouth), alopecia (hair loss), mood disorders and anemia. Changes in the condition of the child make the mothers, as the main caregiver, deal with the distressful situation so that the mother often abandon the treatment and not obedient to the doctor's advice that basically can affect the healing process of children. Therefore, the mother needs an inner ability to adapt to the condition of the child's illness through training. This ability is called by Grotberg (1995) as Resilience. By providing knowledge on the resilience-forming factors of I Have, I Am, and I Can it is highly expected that the mothers having ALL children in the induction phase will be able to adapt to changing child's condition. The research design used is one group pretest-posttest. The measurement of Psychological Distress uses K10 questionnaires; while to know the picture of resilience mother the interview was also used. Data processing is done by using descriptive statistical analysis and content analysis. The conclusions show that (1) the design of Resilient Training Modules tested can reduce the psychological distress score on the mother; (2) In general, the activities, methods, tools, and facilitators in the resilience training module is already in accordance with the participants' need to increase resilience capacity and reduce psychological distress; (3) Decreased physical condition of children such as diarrhea, oral bleeding, etc. becomes a risk factor that can increase the score of mother distress.
HUBUNGAN ANTARA KONFORMITAS TERHADAP TEMAN SEBAYA DENGAN KENAKALAN REMAJA PADA SISWA USIA 13-15 TAHUN DI SMP NEGERI 1 CIWIDEY BANDUNG
Authors: Fatimah Siti
Published: March 2024

The process of education is often hampered by the increased percentage of juvenile delinquency, whether it is committed in the school or at home that occurs because of the influence of peers. The population in this study is the students of class VIII in SMP Negeri 1 Ciwidey Bandung yang as many as 457 people. The sample was taken by using simple random sampling so there are 198 students selected. The data were collected using conformity scale and juvenile delinquency scale. Data analysis technique used is regression analysis and the value of correlation coefficient (R) obtained is of 0.297, the coefficient of determination (R2) = 0.088, F arithmetic = 18.905 and p = 0.000 which means that conformity correlated significantly to juvenile delinquency. While the conformity relationship to juvenile delinquency is determined by the value of R2 (coefficient of determination) of 0.088 that is equal to 8.8 percent of conformity associated with juvenile delinquency. The results showed that 72.2% (143 people) had a moderate conformity rate and 71.2% (141 people) had a moderate juvenile delinquency rate as well.
IMPLIKASI TERAPI FORGIVENESS TERHADAP WELL-BEING REMAJA YANG MENGALAMI CYBERBULLY
Authors: Rosita Tita
Published: March 2024

Tujuan dari penelitian ini yaitu untuk mengkaji implikasi konseling forgiveness terhadap well-being remaja yang mengalami cyberbully. Dalam penelitian ini, digunakan metode kajian pustaka. Berdasarkan hasil analisis kajian pustaka yang diperoleh, bahwa terapi forgiveness memiliki imlpikasi dalam menangani cyberbullying. Individu yang memaafkan telah melalui proses mengganti emosi negatif menjadi emosi positif. Individu memilih proses perubahan perilaku dengan cara menurunkan keinginan untuk membalas dendam, menghindari pelaku dan keinginan untuk tidak berdamai dengan pelaku sehingga forgiveness menjadi salah satu faktor yang berkontribusi terhadap well being individu.
PENERAPAN TEKNIK ASSERTIVE TRAINING DALAM MENINGKATKAN SELF CONFIDENCE PESERTA DIDIK MTs
Authors: Oktapiani Eva
Published: March 2024

Penelitian ini bertujuan untuk menerapkan teknik assertive training untuk meningkatkan self confidence pada peserta didik kelas VII di MTs Maâ€™arif Cibeureum â€“ Sumedang. Penelitian ini merupakan penelitian quasi eksperimen dengan jenis penelitian pretest-posttest control group design. Jumlah populasi dalam penelitian ini adalah 62 orang sementara sampel diambil berdasarkan teknik purposive sampling. Dengan menggunakan teknik pengambilan sampel tersebut maka diperoleh hasil kelompok VII A sebagai kelompok eksperimen dengan kategori self confidence rendah sebanyak enam orang dan kelompok VII B sebagai kelompok kontrol dengan kategori self confidence rendah sebanyak 6 orang. Teknik pengumpulan data dengan menggunakan angket sikap self confidence. Setelah diberikan perlakuan maka diperoleh hasil post-test yang kemudian diolah dengan menggunakan SPSS 23. Hasil rata-rata skor pre-test kelas eksperimen mengalami peningkatan dari 118 menjadi 143,3 pada saat post-test. Sementara kelas kontrol juga mengalami kenaikan dari semula 113 menjadi 117,1. Dengan melihat Sig. (2-tailed) kelas eksperimen yaitu 0,000 < 0,05 maka Ha diterima, artinya teknik assertive training dapat meningkatkan self confidence pada peserta didik kelas VII MTs Maâ€™arif Cibeureum.Â Â
PROGRAM PENINGKATAN KINERJA GURU BIMBINGAN DAN KONSELING BERDASARKAN HASIL ANALISIS PROFESIONAL
Authors: Maryani Ineu
Published: March 2024

Penelitian ini didorong oleh harapan akan eksistensi layanan bimbingan dan konseling di sekolah yang menjadi faktor penentu utamanya adalah profesionalitas guru bimbingan dan konseling yang memenuhi standar kompetensi yang telah ditetapkan.Â  Tujuan penelitian ini mendeskripsikan dan menganalisis kompetensi need asesmen, kompetensi konseling individual dan konseling kelompok, serta evaluasi pelaksanaanÂ  program layanan bimbingan dan konseling yang selanjutnya untuk mengetahui program peningkatan kinerja profesional yang dibutuhkan. Pendekatan yang digunakan pada penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus. Subjek pada penelitian ini terdiri dari dua orang guru bimbingan dan konseling bersertifikat pendidik yang masing-masing bertugas di SMPN 2 Padalarang dan SMPN 2 Cipeundeuy. Simpulan hasil penelitian menunjukkan penguasaan need asesmen sebagian sudah memenuhi sebagian sub kompetensinya,Â  pada aspek konseling individual dan konseling kelompok kemampuan keterampilan konseling konselor masih membutuhkan program peningkatan kinerja profesional, sedangkan pada aspek evaluas ipelaksanaan program layanan bimbingan dan konseling mengetahui konsep teoritis evaluasi, dan perlu peningkatan dalam implementasinya.Â  Program peningkatan kinerja melalui metode mentoringÂ  pada kompetensi konseling individual menunjukkan penggunaan keterampilan konseling yang lebih banyak diantaranya pertanyaan berorientasi target,merubah keyakinan yang merugikan dan empatiÂ  yang mendalam. Sementara konseling kelompok hasil nya memberi dampak peningkatan adanya tahap kerja (performance stage) dengan penggunaan teknik yang lebih banyak.
PENERAPAN CINEMA THERAPY DALAM MENINGKATKAN KETERAMPILAN SOSIAL PESERTA DIDIK KELAS VIII
Authors: Habsyah Nenden Yulianingsih
Published: March 2024

Penelitian ini bertujuan untuk menerapkan cinema therapy dalam meningkatkan keterampilan sosial pada peserta didik kelas VIII di SMPN 1 Cileunyi â€“ Bandung Tahun Pelajaran 20182019. Penelitian ini merupakan penelitian quasi eksperimen dengan jenis penelitian pretestposttest control group design. Populasi dalam penelitian ini adalah peserta didik kelas VIII SMPN 1 Cileunyi tahun Pelajaran 2018-2019. Sampel diambil berdasarkan teknik random sampling. Dengan menggunakan teknik pengambilan sampel tersebut maka diperoleh hasil kelas VIII-H sebagai kelas eksperimen dan kelas VIII-J sebagai kelas kontrol. Teknik pengumpulan data dengan menggunakan angket keterampilan sosial. Perlakuan pada kelas eksperimen diberikan sebanyak lima sesi. Setelah diberikan perlakuan maka diperoleh hasil post-test yang kemudian diolah dengan menggunakan SPSS 25 dan diperoleh hasil data berdistribusi normal dan homogen. Kemudian untuk menguji hipotesis digunakan paired sample t test dan independent sample t-test. Hasil rata-rata skor pre-test kelas eksperimen 113,89 dan hasil rata-rata post-test 131,11. Sementara kelas kontrol hasil rata-rata pre-test 114,56 dan hasil rata-rata post-test 123,89. Dengan melihat Sig. (2-tailed) paired sample t test kelas eksperimen yaitu 0,000 > 0,05. Dan Sig. (2-tailed) independent sample t-test 0,018<0,05. Maka Ha diterima, artinya cinema therapy berpengaruh terhadap keterampilan sosial peserta didik kelas VIII SMPN 1 Cileunyi Tahun Pelajaran 2018-2019.
Pemanfaatan Aplikasi Screen Recorder dan YouTube dalam Perkuliahan Daring
Authors: Lestari Farikha Wahyu , Kurniawan Latif Anshori
Published: March 2024

Pandemi Covid menuntut para pendidik untuk lebih kreatif dalam mengemas materi. Berdasarkan hasil evaluasi pelaksanaan perkuliahan daring di awal masa pandemi dosen lebih sering mengadakan perkuliahan melalui Whatsapp Group, Google meet, maupun zoom. Akan tetapi mahasiswa kurang bisa memahami materi dengan maksimal karena terkendala sinyal, virtual meeting yang dilaksanakan selama berjam-jam juga memberikan dampak kelelahan fisik. Oleh karena itu peneliti mencoba menyajikan materi perkuliahan dalam kemasan yang berbeda dengan memanfaatkan aplikasi perekam layar dan youtube pada mata kuliah aplikasi pemahaman Individu Non Tes dan Statistika. Metoe logi dalam penelitian ini adalah naratif, dimana peneliti menceritakan mengenai pengalamannya selama memanfaatkan aplikasi perekam layar (screen recorder) dan Youtube dalam proses perkuliahan selama satu semester. Pemanfaatan aplikasi perekam layar dan Youtube memberikan dampak yang baik pada proses perkuliahan. Mahasiswa lebih mudah dan leluasa dalam mengakses materi. Kelemahan dari pengunaan aplikasi Screen Recorder dari Screencast-O-Matic (SR-SOM) versi gratis ini adalah fiturnya yang terbatas sehingga kita tidak bisa menambahkan animasi-animasi lain. Dosen maupun guru perlu menemukan dan mengkreasikan metode pembelajaran yang lain untuk membuat proses belajar tetap bermakna dan menyenangkan.Â Â
KETERAMPILAN E-COUNSELING BAGI KONSELOR PENDIDIKAN DALAM MENINGKATKAN LAYANAN BIMBINGAN KONSELING DI SEKOLAH PADA ERA DIGITAL 5.0
Authors: Wibowo Ari Eko
Published: March 2024

Pesatnya perkembangan teknologi membawa perubahan ke arah masyaarakat digital 5.0. perubahan ini berdampak ke semua sektor kehidupan termasuk didalamnya sektor pendidikan. Bimbingan dan konseling sebagai integral dari sektor Pendidikan harus mampu beradaptasi agar bisa terus relevan dengan perkembangan zaman. E-Counseling merupakan layanan bimbingan dan konseling yang terintergasi dengan teknologi dan sejalan dengan perubahan ke arah masyarakat digital 5.0. dalam E-Counseling konselor harus menguasai ketrampilan dasar konseling ditambah dengan penguasaan teknologi. Sampai sekarang belum ada metode pakem dalam pelakasaan E-Counseling, walaupun demikian layanan E-Counseling sangat direkomendasikan karena relevan dengan perkembangan digital 5.0. penelitian ini dilakukan dengan metode studi kepustakaan dengan tujuan untuk mengeksplorasi E-Counseling, dan implementasinya dalam era digital 5.0 bagi konselor Pendidikan.
Systematic Literature Review: Digital Twins’ Role in Enhancing Security for Industry 4.0 Applications
Authors: El-Hajj Mohammed , Gebremariam Teklit , Itapelo Taru
Published: March 2024

Connectivity and data exchange are key features of Industry 4.0. In this
paradigm, (Industrial) Internet of Things ((I)IoT) devices are a vital
component facilitating the collection and transmission of environmental
data from the physical sys- tem to the central station for processing
and analysis(Digital Twin). However, although (I)IoT devices play a
critical role in this process, they are not inherently equipped to run
strong encryption mechanisms to secure the data they transmit over wired
or wireless channels. This research aims to explore the potential of
Digital Twins (DT) in securing Industry 4.0 appli- cations and the
security mechanism employed to ensure con- fidentiality, integrity, and
authentication of data communi- cated between (I)IoT and DT through a
Systematic Literature Review (SLR). This systematic literature review,
based on the analysis of 67 papers published between 2018 and 2023, un-
derscores the evolving significance of Digital Twin technol- ogy,
particularly within the ambit of Industry 4.0. The find- ings illuminate
the pervasive influence of Digital Twin tech- nology across multiple
industrial sectors. The result SLR re- vealed that DT is growing and
being widely adopted as a se- curity tool particularly in Industry 4.0
using enabling tech- nology like machine learning, data analytics,
blockchain, and 5G networks to provide security solutions such as
intrusion detection, vulnerability assessment, cyber range, and threat
intelligence.
Comprehensive Compensation Method for Co-phase Power Supply in Electrified Railways Based on V/v Transformer and Single-phase Rotating Var Compensator
Authors: Yan Xiangwu , Wu Weilin , Shao Chen , Peng Weifeng
Published: March 2024

To solve the problem of negative-sequence and reactive power in
electrified railway, this paper proposes a comprehensive compensation
method based on V/v transformers and electromagnetic single-phase var
compensator (ESVC) for co-phase power supply. First, based on the
principles of static var generator (SVG) and single-phase rotary phase
shifting transformer (SRPST), the topology and model of ESVC have been
established, and the compensation mechanism has been analyzed. Second,
the topological structure and mathematical model of co-phase power
comprehensive compensation device (CPCD) are put forward based on the
principles of V/v transformers and ESVC, and the operation mode of CPCD
in multiple scenarios is designed. Then the strategy of CPCD with double
closed loop control is analyzed: corresponding compensation mode is
selected according to negative-sequence unbalance degree and expected
power factor value. In this strategy, the compensated current output by
ESVC is taken as the quantity of external loop control, and the rotation
angle of ESVC is taken as the quantity of internal loop control to
realize double-closed loop control of CPCD. Finally, the comprehensive
CPCD compensation model is built on the simulation platform and
validated the accuracy of the mathematical model and the effectiveness
of the control strategy.
Comparison of Accuracy of Gradient Boosted Trees in Fake News Detection
Authors: Kurochkin Fedor
Published: March 2024

Due to the rapid expansion of the internet, more fake news are appearing every minute which is a great issue that can cause damage to society. There were many papers before that focused on the possibility of detection of fake news using different algorithms. The gradient boosted models stood out in the accuracies because of how they were able to perform well on different datasets. This paper instead highlights the differences between gradient boosted models involving XGBoost, CatBoost and lightGBM. Each of the models was tested with different hyperparameters that were fitted using grid search in order to maximise accuracy of each algorithm. The models were used on the same preprocessed dataset with extracted features to see the difference in accuracies to determine which one is the best. All of the models in the end came out with similar results but XGBoost was able to outperform the other models.
Mehr: The Sun of Benevolence in the Realm of Mithraism
Authors: Azimi Moein
Published: March 2024

Mehr is associated with Mithra, a deity in ancient Indo-Iranian religion and later in Zoroastrianism. Mithra, sometimes spelled as Mehr or Mithras in different contexts, was a god of the sun, light, and contracts in ancient Persian and Vedic mythology. Mehr in Persian has multiple meanings and associations. It primarily refers to the Sun in Persian and symbolizes light, warmth, vitality, and divine illumination. Mehr also carries connotations of kindness, compassion, and benevolence. This may be due to cultural or linguistic nuances, where the concept of the Sun’s warmth and radiance is metaphorically extended to represent acts of kindness and generosity. Mehr is the name of the seventh month in the Persian calendar. It falls roughly between mid-September and mid-October in the Gregorian calendar. As we reflect on the multiple meanings of Mehr in Persian culture, the profound interconnectedness between nature’s splendor and the human capacity for kindness will be reminded. May we, like the radiant Sun, strive to illuminate the world with the warmth of our compassion and the brilliance of our deeds, embodying the timeless virtues that have defined Persian civilization for millennia.
Exploring Wild Bees Diversity in Seocheon Maeul-Soop: A Quantitative Study
Authors: Lee Sanghun , Kwon Ohchang , Yu Dong Su , An Jeong-Seop , Ahn Na-Hyun
Published: March 2024

Wild bees are important pollinators in the ecosystem, and it is important to monitor their abundance and diversity to characterize and conserve these pollinators. In this study, wild bees were collected from a Maeul-soop in Seocheon-gun, Chungcheongnam-do, Republic of Korea for 2 years from February 2019 to October 2020. From the survey, a total of 3,258 wild bees from 9 families and 57 species were collected over 2 years in the Maeul-soop. The most dominant species was the Andrena kaguya, followed by the Apis mellifera, the Eucera spurcatipes, the Seladonia aeraria, and the Lasioglossum sibiriacum. Monthly changes in the number of species and populations show that the number of species increased from February and peaked in August, and the population peaked in April and then decreased. In addition, in the list of wild bee species collected over the past 2 years, the Apidae was the largest with 16 species, followed by the Halictidae with 13 species and the Megachilidae with nine species. However, although there is only one species of Andrena kaguya in the Andrenidae, its population is 2,084, which is the largest among all wild bees investigated in this study. The results of this study will be useful in understanding the impact of pollinating insects due to climate change in the future.
The group inverse and Moore-Penrose inverse of the product of two elements and generalized inverse in a ring with involution
Authors: Li Anqi , Wei Junchao
Published: March 2024

In this paper, using the expression form of the group inverse and
Moore-Penrose inverse for the product of two elements, we present some new
characterizations of EP elements, partial isometries, SEP elements, normal
elements and hermitian elements in a ring with involution.
Some results on the maximal safety distance in a graph
Authors: Erceg Goran , Subasic Aljosa , Vojkovic Tanja
Published: March 2024

The work in this paper is motivated by I. Banic and A. Taranenko?s recent
paper, where they introduced a new notion, the span of a graph. Their goal
was to solve the problem of keeping the safety distance while two players
are moving through a graph and they presented three different types of graph
spans, depending on the movement rules. We observe the same goal, but give a
different approach to that problem by directly defining the maximal safety
distance for different movement rules two players can take. This allowed us
to solve several problems, prove some relations between different graph
spans, and calculate the span values for some classes of graphs.
Cyclic codes over F2 × (F2 + vF2) and binary quantum codes
Authors: Çalışkan Fatma , Aksoy Refia
Published: March 2024

In the present study, we define cyclic codes over the commutative principal
ideal ring F2 ? (F2 + vF2) with v2 = v and obtain some results on cyclic
codes over F2 ? (F2 + vF2). We also investigate the dual of a cyclic code
over F2 ? (F2 + vF2) depending on two inner products. We determine a
generator polynomial of cyclic codes and give the calculation of the number
of cyclic codes over F2 ? (F2 + vF2). Furthermore, we show that the Gray
images of a cyclic code over F2 ? (F2 + vF2) of length n are binary
quasi-cyclic codes of length 3n and of index 3. We find numerous binary
codes as Gray images of cyclic codes over F2 ? (F2 + vF2) and tabulate the
optimal ones. Moreover, we show that it is possible to obtain binary quantum
error-correcting codes (QECCs) from cyclic codes over F2 ? (F2 + vF2).
A class of Yosida inclusion and graph convergence on Yosida approximation mapping with an application
Authors: Gupta Sanjeev , Khan Faizan
Published: March 2024

The proposed work is presented in two folds. The first aim is to deals with
the new notion called generalized ?i?j-Hp(., ., ...)-accretive mappings that
are the sum of two symmetric accretive mappings. It is an extension of
??-H(., .)-accretive mapping, studied and analyzed by Kazmi [18]. We define
the proximalpoint mapping associated with generalized ?i?j-Hp(., .,
...)-accretive mapping and demonstrate aspects on single-valued property and
Lipschitz continuity. The graph convergence of generalized ?i?j-Hp(., .,
...)- accretive mapping is discussed. Second aim is to introduce and study
the generalized Yosida approximation mapping and Yosida inclusion problem.
Next, we obtain the convergence on generalized Yosida approximation mappings
by using the graph convergence of generalized ?i?j-Hp(., ., ...)-accretive
mappings without using the convergence of its proximal-point mapping. As an
application, we consider the Yosida inclusion problem in q-uniformly smooth
Banach spaces and propose an iterative scheme connected with generalized
Yosida approximation mapping of generalized ?i?j-Hp(., ., ...)-accretive
mapping to find a solution of Yosida inclusion problem and discuss its
convergence criteria under appropriate assumptions. Some examples are
constructed and demonstrate few graphics for the convergence of
proximal-point mapping as well as generalized Yosida approximation mapping
linked with generalized ?i?j-Hp(., ., ...)-accretive mappings.
On the complex valued metric-like spaces
Authors: Hosseini Amin , Karizaki Mehdi Mohammadzadeh
Published: March 2024

The main purpose of this paper is to study complex valued metric-like spaces
as an extension of metric-like spaces, complex valued partial metric spaces,
partial metric spaces, complex valued metric spaces and metric spaces. In
this article, the concepts such as quasi-equal points, completely separate
points, convergence of a sequence, Cauchy sequence, cluster points and
complex diameter of a set are defined in a complex valued metric-like space.
Moreover, this paper is an attempt to present compatibility definitions for
the complex distance between a point and a subset of a complex valued
metric-like space and also for the complex distance between two subsets of a
complex valued metric-like space. In addition, the topological properties of
this space are also investigated.
Transparency in AI Decision Making: A Survey of Explainable AI Methods and Applications
Authors: R Jain
Published: March 2024

Artificial Intelligence (AI) systems have become pervasive in numerous facets of modern life, wielding considerable influence in critical decision-making realms such as healthcare, finance, criminal justice, and beyond. Yet, the inherent opacity of many AI models presents significant hurdles concerning trust, accountability, and fairness. To address these challenges, Explainable AI (XAI) has emerged as a pivotal area of research, striving to augment the transparency and interpretability of AI systems. This survey paper serves as a comprehensive exploration of the state-of-the-art in XAI methods and their practical applications. We delve into a spectrum of techniques, spanning from model-agnostic approaches to interpretable machine learning models, meticulously scrutinizing their respective strengths, limitations, and real-world implications. The landscape of XAI is rich and varied, with diverse methodologies tailored to address different facets of interpretability. Model-agnostic approaches offer versatility by providing insights into model behavior across various AI architectures. In contrast, interpretable machine learning models prioritize transparency by design, offering inherent understandability at the expense of some predictive performance. Layer-wise Relevance Propagation (LRP) and attention mechanisms delve into the inner workings of neural networks, shedding light on feature importance and decision processes. Additionally, counterfactual explanations open avenues for exploring what-if scenarios, elucidating the causal relationships between input features and model outcomes. In tandem with methodological exploration, this survey scrutinizes the deployment and impact of XAI across multifarious domains. Successful case studies showcase the practical utility of transparent AI in healthcare diagnostics, financial risk assessment, criminal justice systems, and more. By elucidating these use cases, we illuminate the transformative potential of XAI in enhancing decision-making processes while fostering accountability and fairness. Nevertheless, the journey towards fully transparent AI systems is fraught with challenges and opportunities. As we traverse the current landscape of XAI, we identify pressing areas for further research and development. These include refining interpretability metrics, addressing the scalability of XAI techniques to complex models, and navigating the ethical dimensions of transparency in AI decision-making.Through this survey, we endeavor to cultivate a deeper understanding of transparency in AI decision-making, empowering stakeholders to navigate the intricate interplay between accuracy, interpretability, and ethical considerations. By fostering interdisciplinary dialogue and inspiring collaborative innovation, we aspire to catalyze future advancements in Explainable AI, ultimately paving the way towards more accountable and trustworthy AI systems.
Prospective Role of ChatGPT in Pharmacy: According to ChatGPT
Authors: S* Biswas
Published: March 2024

ChatGPT, a large language model trained by OpenAI, can support various aspects of the pharmacy. The human author wrote the headers of this article as inputs and found the answers that chatGPT gave that according to it can do now and in the future regarding the pharmacy. According to chatGPT, it can provide information on drug products, side effects, and dosage instructions, answer customer queries related to medication usage, drug interactions, and contraindications, generate summaries of scientific articles and research papers on drugs and their development, assist in drug discovery by providing insights on molecular properties and drug interactions, and provide support in clinical trial management by generating reports and summaries. However, it’s important to note that ChatGPT-generated information should be reviewed and validated by a qualified professional before being used for decision-making. This article illustrates with example the things chatGPT states that is can potentially do now and in the future. The author acknowledges asking chatGPT questions regarding its uses for patient care. Some of the uses that it states are possible now and some are potentials for the future. The author has analyzed and edited the replies of chat GPT
A Monte Carlo Enhanced PSO Algorithm for Optimization Design of Heliostat Field
Authors: Zhao* Bin
Published: March 2024

Tower solar thermal power generation technology is a new low-carbon and environmentally friendly clean energy technology. In this paper, based on Monte Carlo algorithm model and particle swarm optimization PSO algorithm, the optimization model of heliostatic mirror field is constructed, which is of great practical significance for effectively improving the collection and conversion efficiency of solar energy and promoting the sustainable development of clean energy.
Improved Generative Adversarial Network Stock Price Prediction Method
Authors: B* Zhao
Published: March 2024

In response to the challenges posed by the nonlinearity, instability, and complexity of the stock market in the insurance industry, we propose an enhanced generative adversarial neural network-based stock prediction model termed CAL-WGAN-GP. The model's generator incorporates components such as the CNN-BiLSTM model and a self-attention mechanism, employed to generate precise predictions for stock closing prices. The discriminator, comprising a multi-layer convolutional neural network, is tasked with distinguishing between the stock closing prices generated by the generator and actual stock closing prices. To assess the model's generalization capability, stock data from China Ping an, China Life, XinHua Insurance, and Pacific Insurance is selected. During the dataset construction, relevant features, including technical indicators, are incorporated to facilitate the model in better learning hidden data information. Experimental results demonstrate that CAL-WGAN-GP urpasses baseline models across four evaluation metrics: Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and R-squared (R2), achieving the highest degree of data fitting
Current Trends of Artificial Intelligence in Biotechnology
Authors: Mishra* Sanjay
Published: March 2024

Artificial intelligence (AI) is already widely used in biotechnology to solve a variety of problems. These include, for example, drug discovery, drug safety, functional and structural proteomics/genomics, metabolomics, pharmacology, pharmacogenetics and pharmacogenomics, among many others. Future advances in this domain depend critically on the ability of biotechnology researchers to use advanced AI solutions effectively. The biotechnology industry currently relies heavily on data storage, filtering, analysis and sharing. Biotechnology companies and various healthcare organizations around the world already maintain huge data bases. Drug manufacturing, chemical analysis of various compounds, sequencing of RNA and DNA, enzyme studies, and other similar biological processes all require strong support from AI software solution to move faster and reduce manual errors. It is important to emphasize at the very beginning that all the successful AI we are describing today relies entirely on digital technology to function. Digitalization is therefore the very first step towards any AI application. In many cases, AI systems are integrated with other digital technologies such as sensors, actors (cyber-physical systems (CPS), often just called robots), and technology to enable the automation of tasks and the collection and analysis of data. Overall, the development and use of AI is dependent on digital technology - the basis for it is digital computers. Digital transformation refers to the use of digital technologies to fundamentally change the way companies, organizations, research institutions and universities operate. In the context of biotechnology, digital transformation can involve the introduction of new technologies and processes to improve the efficiency, accuracy, and speed of research and development and enable the development of entirely new and disruptive products and services. Digital transformation can help accelerate the development and use of AI in biotechnology by providing access to big data and automating certain tasks, which can help improve the efficiency and accuracy of research and development. In this Editorial, it has been clearly stated what exactly AI means, concomitant with explaining the specific differences between AI, machine learning, and deep learning to provide a worthy common understanding. Afterwards, there is successful introduction of significant domains of biotechnology where AI is being applied or may be applicable in the future. Thereafter, this editorial presents certain cross-cutting challenges where it is predominantly significant to advance future studies
Biomathematical Modeling in Clinical Intelligent Diagnosis and Treatment
Authors: Z* Bin
Published: March 2024

Hemorrhagic stroke, a severe cerebrovascular disorder caused by the rupture of brain blood vessels, is characterized by high acute mortality rates and enduring neurological impairments. To provide more targeted clinical recommendations, this study, based on the clinical data of patients with hemorrhagic stroke, extensively explores the relationships between edema changes, treatment conditions, and modified Rankin Scale (MRS) scores. The HemExPred, EdemaVolReg, and PrognosisPred models are meticulously designed to address these three critical aspects. In this study, we skilfully employed machine learning techniques to identify characteristics associated with hematoma expansion events, with the effectiveness of the ElasticNet technique being particularly notable. Additionally, polynomial regression demonstrated exceptional fitting capabilities in deciphering the complexities of edema volume changes. Utilizing the ExtraTreesRegressor model, with an R^2 of 94.6% and 90.6%, we successfully predicted the future trajectories of patients, affirming that hematoma volume, edema volume, and age are key determinants of prognosis. Through in-depth analysis, this research provides valuable insights for clinical decision-making in hemorrhagic stroke, aiding physicians in devising more precise and effective treatment strategies.
Data Science Plus Plus (DS++): The Definition
Authors: G* Satish
Published: March 2024

Data Science and Artificial Intelligence are popular fields of research. A significant contribution was made to Artificial Intelligence in the recent past by defining branches like “Artificial Intelligence Plus Plus (AI++)”, “The Interesting and Complete Artificial Intelligence (ICAI)”, “Out of the Box Artificial Intelligence (OBAI)”, “Twenty Second Century Artificial Intelligence (TSCAI)”. A similar significant contribution can be made to Data Science by defining branches like “Data Science Plus Plus (DS++)”, “The Interesting and Complete Data Science (ICDS)”, “Out of the Box Data Science (OBDS)”, “Twenty Second Century Data Science (TSCDS)”. This article is based on these research gaps. The primary focus of this work is to coin, define and invent a new Data Science field titled “Data Science Plus Plus (DS++)”.
Perceptions about the Relationship between Oral Health and Digestion: A Qualitative Study Relationship between Oral Health and Digestion
Authors: Vieira da Silva Isadora França
Published: March 2024

Tooth loss can be closely associated with malnutrition and the risk of systemic diseases. This study evaluated the perceptions of patients with gastrointestinal diseases about the importance of teeth and their relationship with gastroenterological conditions. A total of 14 patients with gastrointestinal diseases were included to answer a script with 12 questions (qualitative study). The responses were transcribed and analyzed using Fernando Lefèvre’s methodological approach: “Discourse of the collective subject”. 71.42% (n= 9) of the volunteers felt some discomfort/pain when eating caused by problems with their mouth/prosthesis, and 28.57% (n= 3) responded that they were unable to eat any food they wanted due to problems with their mouth or limbs Teeth. The results show that only 28.57% (n=3) associate the loss of teeth with worsening chewing and digestion capacity. It can be concluded that most patients do not understand the association between tooth loss and the digestion process, causing gastroenterological alterations.
THE REFORM OF DISPUTE SETTLEMENT SYSTEM OF THE WORLD TRADE ORGANIZATION: CONTRIBUTION AND PERSPECTIVES FROM INDONESIA
Authors: Handian Putra Angga
Published: March 2024

The WTO dispute settlement system is currently in crisis as the Appellate Body has been unable to perform its appellate review since December 11th, 2019. The US asserted that the AB has exceeded its authority. The crisis can be detrimental, especially for developing countries in international trade. The WTO Members have made efforts to reform the system. This paper uses qualitative and descriptive research to analyse the contribution of Indonesia to the system and its perspectives on the reform negotiations.

Indonesia has contributed to the system and the Organization by clarifying interpretations of WTO agreements. In the reform negotiations, Indonesia has actively participated by joining a proposal to commence the selection of new AB members, supporting the result of “Walker Process” negotiations as a basis for future negotiation, and making some proposals such as formal communication to the WTO on a process in an informal process to implement the mandate of MC12 Outcome Document. As a negotiation strategy, Indonesia should continue its active participation by prioritizing accessible aspects that are interests of developing and LDC members, emphasizing the need to limit negotiation scope and urging the fulfilment of the 2024 deadline, safeguarding a legalistic system, and conducting a comprehensive analysis on two-tier litigation.