Strange Behavior Research Articles

The impact of excessive dieting on eating disorders in adolescent women: a literature review

Purpose This paper aims to in the modern world, possessing an attractive appearance is often considered a highly valued attribute. As such, the perceptions and satisfaction with one’s body are shaped by dominant cultural norms. Adolescents, women in particular, who are heavily influenced by media representations, may tend to have a distorted body image (BI), including adopting extreme dieting methods. This study reviews the adverse effects of excessive weight loss associated with this. Design/methodology/approach The authors searched journals and the internet for relevant literature using the keywords “eating disorders”, “body image” and “weight stigma”. In the case study field, they added papers that considered “nutrition” to identify the link between dieting behaviour and nutrition. From these reviews, the authors ultimately selected 190 articles that appeared to meet their research objectives. The papers cover a range of studies published between 1995 and 2023. Findings Among adolescent girls and young women in their early 20s, there is a social media-driven culture of being extremely thin and petite. Weight stigma puts more pressure on them and makes strange behaviours like pro-ana syndrome a part of the culture. The authors have seen that modern BI standards leave young women vulnerable to eating disorders caused by excessive dieting. Originality/value Adolescence is a time of continuous growth, so balanced nutrition is essential. However, biased societal standards of beauty can push adolescent girls who are sensitive to external gaze into excessive dieting and make eating disorders a culture. This review provides a perspective on the behaviours that should be pursued for a healthy BI.

Non-Fermi liquid to charge-transfer Mott insulator in flat bands of copper-doped lead apatite.

Copper-doped lead apatite, called LK-99, was initially claimed to be a room temperature superconductor driven by flat electron bands, but was later found to be a wide gap insulator. Despite the lack of room temperature superconductivity, there is growing evidence that LK-99 and related compounds host various strong electron correlation phenomena arising from their flat electron bands. Depending on the copper doping site and crystal structure, LK-99 can exhibit two distinct flat bands crossing the Fermi level in the non-interacting limit: either a single or two entangled flat bands. We explore potential correlated metallic and insulating phases in the flat bands of LK-99 compounds by constructing their correlation phase diagrams, and find both non-Fermi liquid and Mott insulating states. We demonstrate that LK-99 is a charge-transfer Mott insulator driven by strong electron correlations, regardless of the flat band type. We also find that the non-Fermi liquid state in the multi-flat band system exhibits strange metal behaviour, while the corresponding state in the single flat band system exhibits pseudogap behaviour. Our findings align with available experimental observations and provide crucial insights into the correlation phenomenology of LK-99 and related compounds that could arise independently of superconductivity. Overall, our research highlights that LK-99 and related compounds offer a compelling platform for investigating correlation physics in flat band systems.

Characterization of Red Civic Education in Colleges and Universities under Big Data Platform and Optimization of Teaching Methods

Abstract In the era of big data, the implementation of red ideological and political education has a positive and practical guide to the daily behavior habits of college students, and plays a positive guiding role. The lack of red ideological and political education is one of the main reasons for the abnormal behavior of college students. In this paper, the daily behavioral habits of college students are modeled, and according to the different distribution characteristics of individuals on campus activities, abnormal class determination and cluster analysis are carried out. The abnormality detection operator is used to detect the strange behavior of college students. In the study of abnormal behaviors of college students, the proportion of medium and low intensity of deviant behavior college students in sports behavior is as high as 73%, the proportion of high intensity in dietary behavior is 53%, and the proportion of high intensity in consumption behavior is also more than 50%. The psychological attention characteristic value of abnormal behavior college students is lower than that of average behavior college students, and the fluctuation is slightly more significant than that of intermediate behavior college students. Except for the forgiveness and modesty factors, the other 13 positive psychological quality factors of abnormal behavior college students are lower than those of average behavior college students, and the evaluation of the quality of political thinking is more inadequate than 80 points, which is in the range of poor and general assessment. Given the abnormal behavior of college students, the optimization direction of red Civics teaching method is proposed.

Strange metal behavior from incoherent carriers scattered by local moments

Strange metal behavior from incoherent carriers scattered by local moments

Short-Term Load Forecasting Using an LSTM Neural Network for a Grid Operator

Electricity is crucial for daily life due to the number of activities that depend on it. To forecast future electric load, which changes over time and depends on various factors, grid operators (GOs) must create forecasting models for various time horizons with a high degree of accuracy because the results have a huge impact on their decision-making regarding, for example, the scheduling of power units to supply user consumption in the short or long term or the installation of new power plants. This has led to the exploration of multiple techniques like statistical models and Artificial Intelligence (AI), with Machine-Learning and Deep-Learning algorithms being the most popular in this latter field. This paper proposes a neural network-based model to forecast short-term load for a Colombian grid operator, considering a seven-day time horizon and using an LSTM recurrent neural network with historical load values from a region in Colombia and calendar features such as holidays and the current month corresponding to the target week. Unlike other LSTM implementations found in the literature, in this work, the LSTM cells read multiple load measurements at once, and the additional information (holidays and current month) is concatenated to the output of the LSTM. The result is used to feed a fully connected neural network to obtain the desired forecast. Due to social problems in the country, the load data presents a strange behavior, which, in principle, affects the prediction capacity of the model. Still, it is eventually able to adjust its forecasts accordingly. The regression metric MAPE measures the model performance, with the best predicted week having an error of 1.65% and the worst week having an error of 26.22%. Additionally, prediction intervals are estimated using bootstrapping.

Stable bulk nanobubbles can be regarded as gaseous analogues of microemulsions

In our previous work [2022 Phys. Chem. Chem. Phys. 24 9685], we used molecular dynamics simulations to show that bulk nanobubbles can be stabilized by forming a compressed amphiphile monolayer at bubble interfaces. This observation closely matches the origin of stability of microemulsions and inspired us to propose here that, in certain cases, stable bulk nanobubbles can be regarded as gaseous analogues of microemulsions: the nanobubble phase and the bubble-containing solution phase coexist with the external gas phase. This three-phase coexistence is then validated by molecular dynamics simulations. The stability mechanism for bulk nanobubbles is thus given: the formation of a compressed amphiphilic monolayer because of microbubble shrinking leads to a vanishing surface tension, and consequently the curvature energy of the monolayer dominates the thermodynamic stability of bulk nanobubbles. With the monolayer model, we further interpret several strange behaviors of bulk nanobubbles: gas supersaturation is not a prerequisite for nanobubble stability because of the vanishing surface tension, and the typical nanobubble size of 100 nm can be explained through the small bending constant of the monolayer. Finally, through analyzing the compressed amphiphile monolayer model we propose that bulk nanobubbles can exist ubiquitously in aqueous solutions.

Analysis on the Feasibility of Integrated Education for Autistic Children in China

Autism is a psychological disorder caused by the deviation from the nerve tissue development in the human body, and patients with this disorder can be easily recognized in the crowd, mainly due to their social impairment and abnormal and strange behaviors. This paper first introduces the relevant definitions of autism and integrated education. Then, it draws out that autistic children are characterized by communication difficulties, social impairment, narrow interests, stereotyped behaviors, a delayed speech system, a lack of imitation ability, etc. Lastly, based on the current education situation in China, this paper points out that, at present, teachers professionalism lags behind the requirements of integrated education, curriculum resources cannot meet the needs of autistic childrens education, and current learning styles are not suitable for autistic children. In addition, the construction of classroom culture fails to reach the degree of mutual integration, the teaching and learning pattern in Chinese autistic classrooms is not scientific enough, and the number of related studies is small. Based on the above problems, corresponding solutions are proposed, including the allocation optimization of curriculum resources, rational formulation of learning styles and teaching strategies, and the enhancement of the linkage between home and school.

Indigenous literacy of local knowledge about the signs of natural disaster A case of Way Ela Natural Dam - Maluku

Introduction. Various natural disasters occurred in Maluku, with one of the impacts is changing the land surface. One example is a forest has changed into a hill or a river has changed into a natural dam. In Maluku, Way Ela natural dam was formed as a resultof the disaster in 2012 and was destroyed again by the disaster in 2013. This natural event that occurred in a relatively short period of time is still remembered by the community. This study aims to explore the types of local knowledge about dam disasters based on their memories. 
 Data Collection Method. Data collection in this study was conducted by the interviews.
 Data Analysis. Data were analyzed by grouping the themes on natural signs of the formation and of the broken of the dam. 
 Results and Discussion. The formation of dams begins with earthquakes, landslides, dry rivers, and strange animal behavior. Natural signs before a broken-down dam are earthquakes, heavy rain, cracked ground, strange behavior of animals, and changes in cooler air temperature.
 Conclusion. This study concludes that the community is aware of three types of disaster signs including the formation of a dam, before the dam breaks, and when the dam breaks.

E. N. Tsimbaeva. Women and men in the history and literature of the mid-18th — early 20th centuries: Behind the stage of a literary text

E. Tsimbaeva’s monograph analyzes the literature of the mid-18th — early 20th cc. in comparison with the realia of the everyday that were omitted from books by contemporary writers as too obvious and have become obscure and unknown to present-day readers. Notably, the book suggests that the commonly accepted rules and conventions of a period would often determine the plots of contemporary works of literature and shape the images and psychology of their characters, whereas new generations of readers may have trouble understanding their seemingly random and strange behaviour. The scholar argues that the bygone realia of the everyday and customs left behind the scenes of a literary text may not be deduced by the modern reader and therefore provide material for studies by present-day historians. Tsimbaeva’s study focuses on this missing knowledge and its cultural and literary significance.

Sosialisasi Gangguan Stress Pada Narapidana Wanita di Lapas Perempuan Kelas IIA Palembang

There are still many people who give people with psychological disorders bad labels such as "stress", "crazy", "defect", "strange behavior", "incurable disorder". In addition, society views people with psychological disorders as horrible, shameful, and frightening. An introduction is a medium that can be provided to a group or community with the aim of providing information on spiritual or psychological matters to increase knowledge and understanding. Referrals can not only be used for people who are experiencing psychological problems but can also be used as a social movement. The goal is to educate about mental illness. The method used is socialization which aims to increase awareness of mental health stress disorders among female prisoners. As a result, the socialization activities went smoothly according to plan. Participants or participants showed their enthusiasm in participating in the activity, shown through listening to the material, responding, discussing, and asking questions. The author hopes that with this socialization activity, participants can increase their knowledge about mental health and apply it in their daily lives. The author also hopes that the stigma attached to psychological disorders can be reduced and people who need psychological help can consult a psychologist and/or psychiatrist without shame and guilt.

Treatment Compliance Education Strategy for Mentally Disordered Patients at the Bangunjaya Public Health Center, Tulungagung Regency

Mental disorders are a condition where a person has a pattern of behavior that is related to distress, which causes disturbances in their life system. People with mental disorders or what are usually called ODGJ will be accompanied by symptoms in the form of hallucinations, illusions and strange behavior, for example Catatonic or aggressive, ODGJ experience disorders in the form of behavioral disorders, thought disorders, and emotional disorders so that their function as humans will also experience obstacles. The aim of this research is to provide an overall picture of Treatment Compliance Education Strategy for Mentally Disordered Patients at the Bangunjaya Public Health Center, Tulungagung Regency. Design The research used USG method in this research. Referring to the problem, the author proposes an idea to optimize the delivery of education to the families of patients who visit the to carry out routine checks. Treatment compliance carried out at public health centers can be the right place to do this. With this education, it is hoped that knowledge will increase to always comply with the treatment being carried out.

Chimeras in globally coupled oscillators: A review.

The surprising phenomenon of chimera in an ensemble of identical oscillators is no more strange behavior of network dynamics and reality. By this time, this symmetry breaking self-organized collective dynamics has been established in many networks, a ring of non-locally coupled oscillators, globally coupled networks, a three-dimensional network, and multi-layer networks. A variety of coupling and dynamical models in addition to the phase oscillators has been used for a successful observation of chimera patterns. Experimental verification has also been done using metronomes, pendula, chemical, and opto-electronic systems. The phenomenon has also been shown to appear in small networks, and hence, it is not size-dependent. We present here a brief review of the origin of chimera patterns restricting our discussions to networks of globally coupled identical oscillators only. The history of chimeras in globally coupled oscillators is older than what has been reported in nonlocally coupled phase oscillators much later. We elaborate the story of the origin of chimeras in globally coupled oscillators in a chronological order, within our limitations, and with brief descriptions of the significant contributions, including our personal experiences. We first introduce chimeras in non-locally coupled and other network configurations, in general, and then discuss about globally coupled networks in more detail.

Universal theory of strange metals from spatially random interactions.

Strange metals-ubiquitous in correlated quantum materials-transport electrical charge at low temperatures but not by the individual electronic quasiparticle excitations, which carry charge in ordinary metals. In this work, we consider two-dimensional metals of fermions coupled to quantum critical scalars, the latter representing order parameters or fractionalized particles. We show that at low temperatures (T), such metals generically exhibit strange metal behavior with a T-linear resistivity arising from spatially random fluctuations in the fermion-scalar Yukawa couplings about a nonzero spatial average. We also find a T ln(1/T) specific heat and a rationale for the Planckian bound on the transport scattering time. These results are in agreement with observations and are obtained in the large N expansion of an ensemble of critical metals with N fermion flavors.

Effect of the lunar cycle on mental illness – A single-center retrospective observational study

Objectives: In Shakespeare’s play “Othello,” the maid Emilia tells Othello that the moon has drawn too close to the Earth — and driven men insane. The notion that a full moon can elicit strong emotions, strange behavior, and even physical disease is not merely literary. Even now, it is a deeply held notion. The goal of this study was to determine the effect of the lunar cycle on the psychiatric presentation of individuals with schizophrenia, BPAD mania, and ATPD. Material and Methods: Case files of Schizophrenia, bipolar affective disorder (BPAD) mania and psychosis patients admitted in our hospital during full moon and new moon ± 3 days for the past 5 years will be included in the study. Name, age, sex, duration of admission, worsening of symptoms during full moon day and new moon day, any injectable given or not will be noted. These data will be collected from medical records. Telephonic verification of symptom worseness during full moon and new moon will be done. Results: Among 207 participants 74 patients had Schizophrenia, 91 patients had BPAD mania, 25 patients had ATPD and 17 patients had acute psychosis. The exacerbation of psychiatric symptoms, chemical restraints, and admission during phases of moon was statistically associated with lunar patterns in the study population. The rest of the socio-demographic factors, duration of admission, caregiver belief, and symptom worsening noted by caregiver were all not associated with mental illness during lunar phases which is in line with most reported literature in this area. Conclusion: There was an association between symptom exacerbations, chemical restraints, admission with different lunar phase. There was no association for sociodemographic details, duration of admission, caregiver belief on symptom worsening, symptom worsening noted by caregiver with different lunar phases.

Low-energy quasi-circular electron correlations with charge order wavelength in Bi2Sr2CaCu2O8+δ.

Most resonant inelastic x-ray scattering (RIXS) studies of dynamic charge order correlations in the cuprates have focused on the high-symmetry directions of the copper oxide plane. However, scattering along other in-plane directions should not be ignored as it may help understand, for example, the origin of charge order correlations or the isotropic scattering resulting in strange metal behavior. Our RIXS experiments reveal dynamic charge correlations over the qx-qy scattering plane in underdoped Bi2Sr2CaCu2O8+δ. Tracking the softening of the RIXS-measured bond-stretching phonon, we show that these dynamic correlations exist at energies below approximately 70 meV and are centered around a quasi-circular manifold in the qx-qy scattering plane with radius equal to the magnitude of the charge order wave vector, qCO. This phonon-tracking procedure also allows us to rule out fluctuations of short-range directional charge order (i.e., centered around [qx = ±qCO, qy = 0] and [qx = 0, qy = ±qCO]) as the origin of the observed correlations.

Nutrition Therapy Approaches in Children with Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that occurs in the early stages of development, characterized by limitations in social communication and interaction behaviors, repetitive limiting behaviors, and limited interests. Nutritional problems and gastrointestinal complaints seen in ASD have been known since the first diagnosis of the disease and are considered a feature of the disease. It is known that children with ASD have feeding problems five times more often than children with normal development. The most common nutritional problems seen in children with ASD are food selectivity, difficulty in eating skills, selective, strange, and unusual eating behavior, sensitivity to a particular presentation of food, avoidance of new foods, excessive and persistent intake of one type of food and meal time behavioral problems. Dietary approaches such as gluten-free, casein-free, ketogenic, special carbohydrate, Feingold, Candida body ecology, and eliminated allergy diets are applied. However, the evidence for these practices is limited. Therefore, it is recommended to monitor children with ASD in terms of inadequate and unbalanced nutrition and to consider feeding problems and malnutrition in applying restrictive and special diets.

The Effectiveness of Duck Farming as A Psychosocial Recovery and Economic Empowerment of People with Schizophrenia (ODS) and Their Family

Schizophrenia is a psychotic disorder, one type of mental disorder that experiences distortions (deviations) of thought due to a chemical balance disorder in the brain that causes sufferers to experience disturbances in thinking, perception, time and speech orientation, feelings, and even behavior disorders. People who experience or suffer from it are called ODS (People with Schizophrenia). Their strange and deviant behavior even has some ODS who have violent behavior that endangers themselves and those around them, making the community afraid and not daring to take risks to employ them. When ODS conditions are unstable, their behavior causes them to be unable to work productively and concentrate, so their performance is low and not working. This condition makes it difficult for ODS to get a job. Pioneering and owning a duck farming business or operating in a duck farming business for business owners who understand the conditions of ODS is one of the alternative earning businesses that can be a source of income for ODS families and families. In addition, duck farming has a recreational element that can help the psychological recovery process for ODS. This study uses qualitative research methods. This study interviewed the market people of ODS, families, mental hospital staff, and business partners.

Securing the Digital Perimeter Intrusion Detection for Robust Data Protection in Cybersecurity

In cybersecurity, protecting the digital boundaries is very important to avoid data leaks and illegal access. In order to keep data safe, intrusion detection systems (IDS) are very important for keeping an eye on things and finding strange behavior. This paper suggests a new way to make IDS better at protecting the digital border. Propsoed method uses complex encryption algorithms to make sure that data is safer within the digital borders. When you protect private data, it stays safe even if someone breaks into your network and gets to the data without the decoding key. In addition, our system uses machine learning techniques to constantly look at network traffic trends and find strange things that could mean an attack. First, it gives you tracking and reports in real time, so you can quickly deal with security risks. The second reason is that encryption protects the privacy, security, and validity of data. Third, adding machine learning improves the accuracy of IDS by lowering the number of false alarms and finding new risks. The paper discuss strong data protection in cybersecurity, the digital boundaries must be protected with advanced encryption methods and IDS that are based on machine learning. This method improves network security, keeps private data safe, and lowers the risk of hacking.

Nutritional Status of People with Schizophrenia in Sidoarjo District and its review according to Islamic View

Schizophrenia is a psychiatric illness that affects the brain and causes strange thoughts, perceptions, emotions, movements and behaviors. Schizophrenia is associated with many health problems that will increase morbidity and mortality due to changes in body weight. Lack of nutrition will make the body more susceptible to infection, while excess nutrition can trigger degenerative diseases. Decreased ability to care for oneself in schizophrenic patients can cause the patient's nutritional status to become malnourished or even malnourished. The purpose of this study was to determine the demographics and nutritional status of people with schizophrenia in Sidoarjo Regency. The method used in this research is descriptive quantitative method. The type of analysis used in this research is univariate data analysis. The results showed that people with schizophrenia in Sidoarjo district, especially in Wonoayu, Krian, and Tarik sub-districts, as many as 30 people (17.6%) were included in the Underweight category, 62 people (36.5%) were included in the Normal Weight category. 29 people (17.1%) were included in the overweight category with Risk, 38 people (22.4%) were included in the Obesity I category, 11 people (6.5%) were included in the obesity category II.

The Platypus of the Quantum Channel Zoo

Understanding quantum channels and the strange behavior of their capacities is a key objective of quantum information theory. Here we study a remarkably simple, low-dimensional, single-parameter family of quantum channels with exotic quantum information-theoretic features. As the simplest example from this family, we focus on a qutrit-to-qutrit channel that is intuitively obtained by hybridizing together a simple degradable channel and a completely useless qubit channel. Such hybridizing makes this channel’s capacities behave in a variety of interesting ways. For instance, the private and classical capacity of this channel coincide and can be explicitly calculated, even though the channel does not belong to any class for which the underlying information quantities are known to be additive. Moreover, the quantum capacity of the channel can be computed explicitly, given a clear and compelling conjecture is true. This “spin alignment conjecture,” which may be of independent interest, is proved in certain special cases and additional numerical evidence for its validity is provided. Finally, we generalize the qutrit channel in two ways, and the resulting channels and their capacities display similarly rich behavior. In the companion paper [1], we further show that the qutrit channel demonstrates superadditivity when transmitting quantum information jointly with a variety of assisting channels, in a manner unknown before.