*.avi; *.csv; *.txt

This dataset was used to support our work and provided to the review for reference.


This study uses monthly data on the value of Indonesian exports (Million US$) obtained from the Central Statistics Agency (BPS) from January 1993 to December 2022. The process of collecting export data by BPS is based on export documents or Goods Export Notification (PEB) filled out by exporters and has been given a loading permit by the Customs and Excise Service Office, then sent to BPS and Bank Indonesia (BI). Since 2015, other data sources in export recording are records from other agencies such as PT POS Indonesia, and sea border export surveys.


This paper presents a cost-effective approach for building energy usage management through energy usage optimization of available building energy sources. An energy cost reduction model is developed considering grid energy usage and cost, generator energy usage and cost as well as carbon emissions tax penalties associated with scope 1 emissions. The model selects optimal times to use either Grid energy, generator energy, or a combination of the two to minimize the overall building energy usage cost.


The dataset was generated through the execution of a Python script designed to collect a comprehensive set of data samples from six different sensors for each specific gesture. Upon launching the script, users are prompted to initiate gesture 0, Once ready, users can commence recording, with the program automatically capturing 1000 samples for that particular gesture. Subsequently, the program prompts users to perform gesture 1, and this process repeats until data for all gestures is collected.


This dataset contains data collected from multiple paths, such as Unequally space path, Curved path, ESPLB, data collected from actual paths, and concentration prediction data. This experiment adopts a new concentration data collection path ESBLP method efficiently divides the study area into three parts and measures concentration data along the boundaries to calculate gradients.


The risks to children of online predators in real time gaming environments have been an area of growing concern. Research towards the development of near real time capabilities has been the focus of most queries published in this area of study. In this paper, we present Protectbot, a comprehensive safety framework used to interact with users in online gaming chat rooms. Protectbot employs a variant of the GPT-2 model known as DialoGPT, a generative pre-trained transformer designed specifically for conversation.


Objective: The current study investigates
whether, during a Cochlear Implant (CI) surgery, conditioning
(i.e. applying short bursts of electrical stimulation)
within a saline solution can have positive effects on subsequent
intra-operative measurements. We hypothesize that,
based on previous research, the impedance values will be
reduced, and that the reproducibility of Electrically Evoked
Compound Action Potentials (ECAPs) is improved as a
result of conditioning.
Methods: We conditioned half of the electrode contacts,
within a saline solution, before CI insertion, using 23 MEDEL
implants. Impedance was measured for both the conditioned
and non-conditioned groups at five time points.
Repeated ECAP recordings were measured and compared
between the conditioned and non-conditioned groups.
Results: Impedance of the electrode contacts were reduced
by 31% after conditioning in saline solution; however,
there were no clinically relevant differences after
the implantation of the electrode array. The hypothesis
that measurement reproducibility would be increased after
conditioning could not be confirmed with our data.
Within the saline solution, we observed that 44% of the
electrode contacts were covered with air bubbles, which
most disappeared after implantation. However, these air
bubbles limited the effectiveness of the conditioning within
the saline solution. Lastly, the effect of conditioning on the
reference electrode stimulation was approximately 16% of
the total reduction in impedance.
Conclusion: Our data does not suggest that intraoperative
conditioning is clinically required for cochlear implantation
with MED-EL implants. Additionally, an in-vivo ECAP
recording can be considered as a method of conditioning
the electrode contacts.
Significance: We confirm that the common clinical practice
does not need to be changed.


A challenge with how the body processes sensory information is one of the most important behavioral signs of autistic people. This is usually manifested as being either overly sensitive or underly sensitive to touch. To address this anomaly, many researchers have proposed wearable sensor-based systems and applications in the field of virtual environments but have neglected to conduct a proper evaluation and proof of concept for autistic people.


The SNNUMlog is the learning context data, which around 50 volunteers collected. It includes the learner name, nine learning contexts, learner arrival time, learner floor, learner longitude, learner latitude, learner altitude, collection device, weather type, and sensor data related to 73 types. Learning contexts in the mobile learning context dataset involve nine common learning contexts in the university campus, namely: classroom, laboratory, dormitory, library, canteen, gymnasium, outdoors, supermarket, and stadium.


this is supplementary materials for article "Control of Cooperative-Transportation Dynamics in Twin-Lift Cranes Suspending a Liquid Container"